Fixie is a platform for building applications using Large Language Models. With Fixie, you can write apps that communicate, in natural language, with one or more Agents that can access individual APIs or sources of data, such as GitHub, Google Calendar, or a database.
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Late last year, we published our framework for the enterprise AI stack and gestured toward the potential of foundation models to advance innovation at each of its layers, from AI-optimized hardware, compute, and cloud on up. Yesterday’s release of GPT-4, with its ability to process both text and image inputs, promises to accelerate this paradigm shift in AI, which dramatically reduces the time, technical knowledge, and cost needed to spin up AI-enhanced products.
This video will explain how to use GPT-4 api, create an evolving chat history which respects token context limits by droppping earlier conversation when necessary. We will also learn about how to stream responses to the terminal and with the Steramlit UI. We will build two different gradio UIs and also a webapp using HTML, CSS, JavaScript, Python and FastAPI.
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With the emergence of Large Language Models (LLMs), AI technologies have advanced to a level where humans can converse with chatbots in a way that resembles human conversation. In my opinion, chatbots are poised to become an essential component of our daily lives for a wide range of problem-solving tasks. We will soon encounter chatbots in various domains, including customer service and personal assistance.
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A frontend Framework for building data-driven applications running in the browser on top of REST/GraphQL APIs, using ES6, React and Material Design. Open sourced and maintained by marmelab.
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Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical. LLMs’ generative abilities make them popular for text synthesis, summarization, machine translation, and more.
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Example open source event-driven application that generates a new bed time story for your children every night using Lambda, EventBridge, DynamoDB, App Runner, ChatGPT and DALL-E.
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At AWS re:Invent 2022, we previewed AWS Application Composer, a visual builder for you to compose and configure serverless applications from AWS services backed by deployment-ready infrastructure as code (IaC).
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Visually design and build serverless applications| Serverless Office Hours
Learn how to use React and the OpenAI API to create an application like ChatGPT. The application can answer our questions, convert the text into different languages, or even convert JavaScript code to Python.
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Supabase hired me to build ClippyGPT - their next generation doc search. We can ask our old friend Clippy anything you want about Supabase, and it will answer it using natural language. Powered by OpenAI + prompt engineering.
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If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage.
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In this solidity course you will learn about solidity programming language along with that you will be building web3 decentralized solidity power web3 app.
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Daft is currently in its Alpha release phase - please expect bugs and rapid improvements to the project. We welcome user feedback/feature requests in our Discussions forums.
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