Dream –an AI no-code tool to build fully functional web apps and components with natural language. built by Student Hacker, @calixo888
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LoRAX: Open-Source Framework for Efficient Multi-Model LLM Deployment
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We recently open-sourced LoRAX—a novel LLM deployment framework that makes it possible to serve 100s of #finetuned models at the cost of one #GPU. So how does #LoRAX achieve these great results? Check out the blog to find out: https://
pbase.ai/49Q2Fof -
FourCastNet Open-Sourced: Beyond Deterministic Forecast Scores
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Thank you for your post. We have recently open-sourced our FourCastNet model and code. I agree with your thread, but also want to add one more point: Improving just the deterministic forecast scores is not enough. Instead, the ultimate goal is the probabilistic scores of
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RAG Stack Documentation: Organizing Key Strategies
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Deconstructing the RAG stack We repeatedly hear that navigating the idea maze around RAG is a challenge. We've overhauled our RAG docs and made a series of guides to organize / explain key RAG strategies. As an entry point, see our new RAG docs: https://
python.langchain.com/docs/use_cases
/question_answering/
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Tuna: No-Code LLM Fine-Tuning Dataset Generation Tool
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Tuna: a no-code tool for quickly generating LLM fine-tuning datasets from scratch built by Student Hacker, @itsandrewgao
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GPT-Crawler: Building Custom AI Chatbots for Websites
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GPT-crawler template Easily building chat assistants for websites (documentation, etc) is an extremely popular use-case. GPT-crawler from @builderio is rapidly growing in popularity for building custom GPTs for sites: https://
builder.io/blog/custom-gpt This template shows how to -
Leveraging APIs and Domain Expertise for AI Innovation
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Startups and developers should leverage existing APIs and refine them with quality data. Paige notes that domain expertise can drive AI innovation, even without a CS background.
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Claude 2.1 API now available with 200K context window
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Claude 2.1 is available now in our API, and is powering http://
claude.ai for both the free and Pro tiers. Usage of the 200K context window is reserved for Claude Pro users. Read more in our blog post: -
Claude API Workbench and System Prompts Launch
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We’re enhancing our developer experience with a new Workbench feature in the Console that makes it easier for Claude API users to test prompts. We’re also introducing system prompts, which allow users to provide custom instructions to structure responses in a more consistent way. pic.twitter.com/28xwVF6CB8
— Anthropic (@AnthropicAI) 21 novembre 2023We’re enhancing our developer experience with a new Workbench feature in the Console that makes it easier for Claude API users to test prompts. We’re also introducing system prompts, which allow users to provide custom instructions to structure responses in a more consistent way.
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Claude 2.1 Introduces Tool Use for API Integration
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Claude 2.1 includes a new tool use feature that allows the model to integrate with users' existing processes, products, and APIs. This means that Claude can now orchestrate across developer-defined functions or APIs, web search, and private knowledge bases.