You can also set custom instructions within each project to further tailor Claude's responses.
GENERATIVE AI
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Claude Team Plan Adds Shared Project Feed for Chat Snapshots
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All chats with Claude are private by default. On the Claude Team plan, you can choose to share snapshots of conversations with Claude into your team’s shared project feed.
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Claude Projects: Organize Shareable Chats with 200K Context
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You can now organize chats with Claude into shareable Projects.
— Anthropic (@AnthropicAI) 25 juin 2024
Each project includes a 200K context window, so you can include relevant documents, code, and files. pic.twitter.com/em9QmYUMFiYou can now organize chats with Claude into shareable Projects. Each project includes a 200K context window, so you can include relevant documents, code, and files.
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Moving Generative AI from Experiments to Production
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Did you know 90% of companies have started experimenting with generative AI, but only 13% have managed to move projects into production? Join this webinar with @googlecloud to learn how to rapidly build and deploy an AI solution for your specific use case with DataRobot using
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Chat with Your Data: Summarizing PDF Files
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Step 4: Chat with your data Finally, once the data has been ingested into the app, chat with your data. Here we are asking it to summarize the pdf file.
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Setting up RAG system with Clarifai and Claude 3.5 Sonnet
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Step 2: Next, import the RAG class and set up the RAG system by passing your Clarifai user ID and the Claude 3.5 Sonnet model URL from the Clarifai community. You can find it here: https://
clarifai.com/anthropic/comp
letion/models/claude-3_5-sonnet
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Build RAG System in 4 Lines Using Clarifai SDK
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You can build a RAG system with just 4 lines of code using @clarifai Python SDK. Below is the entire code. Let's look at it step by step:
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Build LLM RAG App Chat PDF Files Claude 3.5 Sonnet
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Build a LLM app with RAG to chat with PDF files using the latest Claude 3.5 Sonnet in just 4 lines of Python code (step-by-step guide):
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Claude 3.5 Boosts Coding Productivity and Engagement
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It was definitely what tipped the scale! I sat down to finally test 3.5 and ended up coding for 2 hours.
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Exploring heyglif AI inference infrastructure and capabilities
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wow @heyglif is very very cool Where do you run inference, @fabianstelzer
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