Deep dive into ChatGPT
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ChatGPT is a cutting-edge AI chatbot developed by OpenAI using their GPT-3 models. It was trained on vast amounts of internet data like Reddit to understand human conversation. While powerful for language tasks, it has limitations as it can provide incorrect answers depending on the input quality. ChatGPT serves different purposes than Google Search and cannot replace it, but can be used for tasks like content creation, translation, summarization, question answering, and more.
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Gain valuable insights, practical tips, and expert guidance to maximize the potential of AWS automation in your organization. Whether you are new to automation or looking to enhance your existing processes, this presentation provides valuable knowledge and actionable steps. Explore real-world use cases, understand the benefits of IT automation, and learn how Valuebound, a leading cloud consulting firm, can assist you in leveraging AWS to achieve greater efficiency and success.
Save time, optimize resources, and improve your IT security and compliance with the power of AWS automation. Don't miss this opportunity to embark on a journey towards streamlined IT operations. Contact Valuebound today to learn more about automating your IT processes with AWS.
READ MORE: https://www.valuebound.com/resources/blog/how-use-aws-automate-your-it-operations
#aws #drupal #drupalindia
How to Use Firebase to Send Push Notifications to React Native and Node.js Apps
Learn how to implement Firebase Cloud Messaging (FCM) for sending push notifications to Android, iOS, and web apps. This comprehensive guide explores the power of FCM and provides step-by-step instructions on setting up Firebase, integrating FCM into React Native and Node.js projects, and handling incoming messages. Discover how FCM can help you engage your users, deliver relevant information, and enhance the user experience. Contact Valuebound for expert guidance on leveraging FCM to transform your business with cutting-edge technology.
https://www.valuebound.com/resources/blog/how-use-firebase-send-push-notifications-react-native-and-nodejs-apps
#drupal #drupalservices
Mastering Drupal Theming
Drupal theming is an essential part of creating a successful website. It helps to create a unique and appealing visual identity for your website and improves the user experience. Bootstrap, on the other hand, is a popular front-end framework that offers a set of tools and components to create responsive and mobile-friendly designs quickly and easily. By combining Drupal theming and Bootstrap, you can create a powerful and effective website that is visually stunning, responsive, and user-friendly.
In this tutorial series, we'll be focusing on Drupal 8/9/10, the latest version of Drupal, and show you how to create a custom Bootstrap based theme from scratch. We'll start by introducing you to the basics of Drupal theming, including how to create a sub-theme, add CSS and JS files, and configure settings. Then, we'll move on to Bootstrap and explain how to incorporate it into your theme, use its classes and components, and customize its styles.
The Benefits of Cloud Engineering
Cloud engineering is revolutionizing the application development and delivery landscape, transforming the way businesses build, deploy, and scale their applications. This dynamic shift is driven by the growing adoption of cloud computing, with the cloud infrastructure services market reaching a remarkable $130 billion in revenue in 2021 alone, according to the Synergy Research Group. As businesses worldwide embrace cloud engineering practices, the demand for skilled cloud engineers is skyrocketing, fueling innovation and driving market growth.
Join Akanksha Mishra in this insightful presentation as she explores the fundamental benefits of cloud engineering and its profound impact on application development and delivery. Discover how cloud engineering empowers businesses to scale and optimize applications effortlessly, streamline development workflows, and achieve enhanced performance, reliability, and return on investment (ROI). Gain valuable insights into market trends, including the market shares of major cloud providers such as Microsoft, Amazon, and Google.
Addressing the pain points of traditional application development methods, Akanksha highlights the limitations of slow time-to-market, limited scalability, high costs, security risks, and lack of flexibility. She then unveils how cloud engineering mitigates these challenges by leveraging the power of cloud computing technologies. Embrace cloud-native architectures, leverage cloud-based development tools and platforms, emphasize DevOps and automation, and prioritize security and compliance to accelerate your application development journey.
Discover the immense advantages of cloud engineering as Akanksha references industry research and expert insights. Gartner predicts that cloud computing will become the default option for software deployment by 2025, offering agility, cost reduction, and scalability. Forbes highlights faster innovation, efficient resource allocation, and heightened customer satisfaction as key benefits. The Wall Street Journal emphasizes greater speed, flexibility, and agility in application development and delivery processes.
Unleash the full potential of cloud engineering as Akanksha presents a 4-step roadmap for organizations to adopt transformative practices. Embrace cloud-native architectures to exploit cloud computing's benefits fully. Leverage cloud-based development tools and platforms to streamline workflows and expedite time-to-market. Emphasize DevOps and automation to drive collaboration and efficiency. Prioritize security and compliance to safeguard your applications and data.
The impact of cloud engineering on ROI cannot be understated. Studies show that cloud applications deliver higher ROI and lower total cost of ownership (TCO) compared to on-premise applications. Forrester Consulting reports that cloud engineering practices can achieve an ROI of 208% over three years and reduce application development costs by 20-30%.
Cloud Computing
This Slideshare presentation explores the future of cloud engineering, and the emerging trends and technologies to watch out for managing cloud operations in a rapidly changing environment. As the global cloud computing market size is expected to grow from $371.4 billion in 2020 to $832.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period, it is essential for businesses to adapt to stay ahead of the curve.
From the rise of serverless computing to the increasing importance of cybersecurity, the cloud engineering landscape is rapidly evolving. The presentation provides valuable insights into the challenges and opportunities that lie ahead for cloud engineers.
The presentation highlights the importance of understanding the emerging trends and technologies in cloud engineering to stay ahead of the competition, ensure cost-effective cloud operations, mitigate risks and ensure compliance, and drive innovation and business growth.
The emerging trends and technologies covered in the presentation include Serverless Computing, Multi-Cloud Strategies, Edge Computing, Cloud-Native Technologies, and Artificial Intelligence and Machine Learning. The presentation also provides successful use cases of these technologies and how businesses can leverage them to optimize their cloud operations and drive innovation.
Learn more: https://www.valuebound.com/resources/blog/future-cloud-engineering-emerging-trends-and-technologies-watch-2023-beyond
The Future of Cloud Engineering: Emerging Trends and Technologies to Watch in...
This Slideshare presentation explores the future of cloud engineering, and the emerging trends and technologies to watch out for managing cloud operations in a rapidly changing environment. As the global cloud computing market size is expected to grow from $371.4 billion in 2020 to $832.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period, it is essential for businesses to adapt to stay ahead of the curve.
From the rise of serverless computing to the increasing importance of cybersecurity, the cloud engineering landscape is rapidly evolving. The presentation provides valuable insights into the challenges and opportunities that lie ahead for cloud engineers.
The presentation highlights the importance of understanding the emerging trends and technologies in cloud engineering to stay ahead of the competition, ensure cost-effective cloud operations, mitigate risks and ensure compliance, and drive innovation and business growth.
The emerging trends and technologies covered in the presentation include Serverless Computing, Multi-Cloud Strategies, Edge Computing, Cloud-Native Technologies, and Artificial Intelligence and Machine Learning. The presentation also provides successful use cases of these technologies and how businesses can leverage them to optimize their cloud operations and drive innovation.
Learn more: https://www.valuebound.com/resources/blog/future-cloud-engineering-emerging-trends-and-technologies-watch-2023-beyond
Content Creation Solution | Valuebound
"Content Creation Solution for a Global Life Sciences Firm" is a case study that showcases how Valuebound, a product engineering company, helped a leading global commercial services provider in the life sciences industry to increase team productivity, enhance the content authoring experience, and save valuable time. The client needed a content creation platform for co-authoring intelligent interactive reports with easy-to-use visualization tools, and content governance was a significant requirement to ensure quality and high standards of reports at every stage of the content lifecycle. Valuebound provided a collaborative content creation platform that made the co-authoring process simpler, more reliable, and seamless for organizations. The platform enabled the client to slash their insights and report content creation costs by 66%, reduce customer approval time for reports by 50%, increase collaboration in authoring across Research and Content team, help insights creation and publication team save at least 45 minutes per user a day, and increase ROI for the content creation process by over 30%. The case study outlines the challenges faced by the client, the solution provided by Valuebound, and the benefits realized by the client.
Road ahead for Drupal 8 contributed projects
Drupal 8 EOL leaves contributed projects in a state where they’re prone to security threats. Therefore they must upgrade to the latest versions. All contributed projects which are only compatible with Drupal 8 core (with 8.y.x version numbers) remain unsupported since November 17, 2021.
Chatbot with RASA | Valuebound
Presentation on chatbot created using RASA NLU and RASA CORE with slack as its communication platform. This is Artificial Intelligence usage in Drupal. We have covered this topic in an online event "Drupal and Artificial Intelligence for Personalization" on May 18th
Drupal and Artificial Intelligence for Personalization
The document discusses artificial intelligence (AI) and its applications for content management systems like Drupal. It begins with an agenda that includes the history of AI, definitions of key terms like AI, machine learning and deep learning. It then discusses how neural networks work at a basic level and how content management systems and Drupal in particular can utilize AI. Specific use cases for Drupal include multilingual support, chatbots, personalization, and deriving insights from content. The presentation concludes that AI can provide better user experiences, targeting, and value when combined with content management systems.
Drupal growth in last year | Valuebound
Drupal has seen tremendous growth in the last year. Valuebound collected few data from Drupal.org to present it in front of you.
BE NEW TO THE WORLD "BRAVE FROM CHROME"
Brave is fast, secure and a cryptocurrency has driven (for marketing and fixing the ad model of the web) browser. Just go through the slides to know more about the new search engine.
Event loop in browser
In this presentation, Anupam Poria of Valuebound has talked about “Event loop in the browser.”
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
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The Basics of MongoDB
In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database.
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
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React JS: A Secret Preview
In this presentation, Prashant Sharma of Valuebound has talked about ReactJS - a JavaScript library for building user interfaces. Check out the agendas to know what is there for you.
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
Dependency Injection in Drupal 8
In this presentation, Juhi Rathi of Valuebound has discussed “Dependency Module in Drupal 8.” It is a technique that introduces the service container, which ensures that all the dependencies will be available with the client.
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Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
An Overview of Field Collection Views Module
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How to Use AWS to Automate Your IT Operation| Valuebound
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Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
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Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
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20240702 QFM021 Machine Intelligence Reading List June 2024
Everything that I found interesting about machines behaving intelligently during June 2024
Observability For You and Me with OpenTelemetry
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How Netflix Builds High Performance Applications at Global Scale
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
Knowledge and Prompt Engineering Part 2 Focus on Prompt Design Approaches
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
Dev Dives: Mining your data with AI-powered Continuous Discovery
Want to learn how AI and Continuous Discovery can uncover impactful automation opportunities? Watch this webinar to find out more about UiPath Discovery products!
Watch this session and:
👉 See the power of UiPath Discovery products, including Process Mining, Task Mining, Communications Mining, and Automation Hub
👉 Watch the demo of how to leverage system data, desktop data, or unstructured communications data to gain deeper understanding of existing processes
👉 Learn how you can benefit from each of the discovery products as an Automation Developer
🗣 Speakers:
Jyoti Raghav, Principal Technical Enablement Engineer @UiPath
Anja le Clercq, Principal Technical Enablement Engineer @UiPath
⏩ Register for our upcoming Dev Dives July session: Boosting Tester Productivity with Coded Automation and Autopilot™
👉 Link: https://bit.ly/Dev_Dives_July
This session was streamed live on June 27, 2024.
Check out all our upcoming Dev Dives 2024 sessions at:
🚩 https://bit.ly/Dev_Dives_2024
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You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
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Artificial Intelligence (AI), Robotics and Computational fluid dynamics
Dive into the intersection of Artificial Intelligence (AI), Robotics, and Computational Fluid Dynamics (CFD) in pharmaceutical sciences. This presentation provides a comprehensive overview, from the foundational principles to advanced applications in pharmaceutical automation. Explore the transformative impact of AI and robotics on drug discovery, manufacturing, and delivery, alongside CFD's role in optimizing processes. Delve into the advantages and disadvantages of integrating these technologies, uncover current challenges, and envision future directions shaping the future of pharmaceutical innovation.
This presentation will explore the intersection of artificial intelligence, robotics, and computational fluid dynamics in the context of pharmaceutical automation. We will provide an overview of these technologies, discuss their applications in the pharmaceutical industry, highlight the advantages and disadvantages of their use, and examine current challenges and future directions.
The integration of artificial intelligence, robotics, and computational fluid dynamics in pharmaceutical automation has the potential to revolutionize the industry, improving efficiency, safety, and quality control. However, challenges related to data management, standardization, workforce adaptation, and regulatory compliance must be addressed. The future of pharmaceutical automation lies in the continued development and integration of these technologies, leading to more efficient, reliable, and innovative drug manufacturing processes.
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Disadvantages of AI and Robotics
Challenges in Pharmaceutical Automation
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ASIMOV: Enterprise RAG at Dialog Axiata PLC
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Attending this session will give you a deeper understanding of the potential of RAG and Milvus DB in telecommunications engineering. You will learn how to address common challenges in the field and enhance the efficiency of their operations. The session will equip you with the knowledge to make informed decisions about the choice of vector databases, and how best to use them for your use-cases
Details of description part II: Describing images in practice - Tech Forum 2024
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
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Deep dive into ChatGPT
- 1. Unleashing the power of AI: Deep dive into ChatGPT
- 2. Chatbot History ● Key milestones in chatbot history include ELIZA (1966), A.L.I.C.E (1995), and SmarterChild (2001). ● ELIZA was a key milestone due to its keyword-enabled responses that provided a human-like conversation experience.
- 3. What is ChatGPT? ● ChatGPT is a cutting-edge AI chatbot developed by OpenAI and backed by Microsoft's $1 billion investment. ● It's a huge language model developed by the OpenAI GPT-3 family of large language models based on the Generative Pre-trained Transformer armature. ● ChatGPT can be used for colorful natural language processing tasks like language restatement and conversational AI.
- 4. How Did ChatGPT Become Skilled/Trained? ● ChatGPT was trained by OpenAI's GPT-3 family of large language models, with 175 billion parameters and 570 gigabytes of text data. ● It's trained on internet code and data sources like Reddit, and human feedback to understand human conversation style and respond in a human-like manner.
- 5. Limitations of ChatGPT ● ChatGPT won't respond with harmful or toxic responses, but its quality of answers depends on the quality of inputs, which may lead to incorrect answers. ● Some users report wrong answers or nonsensical ones from ChatGPT, and OpenAI acknowledges that it can provide incorrect answers. ● ChatGPT is currently free during the research preview phase, and OpenAI seeks feedback to improve its responses and correct any limitations.
- 6. Can ChatGPT Replace Google Search? ● ChatGPT and Google Search serve different purposes and can't replace each other. ● ChatGPT is a language generation model that generates human-like text based on a prompt for tasks such as translation, summarization, and question answering. ● Google Search is a search engine that provides relevant information for a user's query. ● ChatGPT is useful for language-based tasks but can't replace Google Search as an essential tool for finding information. ● Google has its own AI chatbot, LaMDA, that performs close-to-human communication.
- 7. How Can ChatGPT Be Used? ChatGPT is a powerful language generation model that can be used for a wide range of language-based tasks. Some of the approaches it may be used encompass: ● Content creation: ChatGPT can assist users in generating text for different purposes like content creation, writing, and even for coding. ● Language Translation: ChatGPT can be used for language translation by providing the text in one language and asking it to translate it to another. ● Summarization: ChatGPT can summarize long documents or articles by extracting the key points and presenting them in a condensed format.
- 8. ● Question answering: ChatGPT can answer questions by providing it with a prompt that includes a question and relevant information. ● Dialogue Generation: ChatGPT can be used to generate dialogue for chatbots, virtual assistants, and other conversational systems. ● Text completion: ChatGPT can be used to complete a text given a starting prompt, it can be used in writing and coding. ● Text classification: ChatGPT can be fine-tuned to classify text into different categories based on its content. ● Language model fine-tuning: ChatGPT can be fine-tuned to perform specific tasks like sentiment analysis, named entity recognition, and more. ● Text generation: ChatGPT can be used to generate text based on a given prompt, it can be used for creative writing, poetry, song lyrics and more. ● Text-to-speech: ChatGPT can be used to generate speech from text, it can be used for assistive technology and more. These are just a few examples of the many ways ChatGPT can be used. The model's capabilities and potential are constantly evolving as it continues to be developed and improved.
- 9. Conclusion ● ChatGPT is an AI language model by OpenAI that uses machine learning to generate human-like text. ● It's trained on large text data to handle a variety of natural language inputs for tasks like answering questions, writing essays, and communication. Its transformer-based architecture enables it to handle long-term dependencies in input and generate coherent text. ● If you have any questions regarding this insight, drop us a message or connect with us.