Mycelium • Graph visualization library https://
bit.ly/4dtRYIo
#AI #MachineLearning #DeepLearning #LLMs #DataScience
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Mycelium Graph Visualization Library for AI Applications
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Meta Llama 3.2: Fast Inference AI Development Now Free
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The possibilities are endless with @AIatMeta
's Llama 3.2! With so many potential use cases out there, this is the perfect time to get creative and build a valuable #AI with hyper-fast #inference. Start developing for free -
Automate Chat Assistant Data Updates With n8n Cron
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Keeping your chat assistant up to date with the latest data changes is vital. Using the @n8n_io cron scheduler, you can start a cron job that periodically fetches the latest data, indexes it, and performs upserts through the Flowise API. Complete tutorial
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LangGraph Agents Integration with Vercel AI SDK Example
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pretty cool oss example of langgraph agents (in python) connected to vercel ai sdk (frontend) https://t.co/qlctVXonnl
— Harrison Chase (@hwchase17) 17 octobre 2024pretty cool oss example of langgraph agents (in python) connected to vercel ai sdk (frontend)
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Progressive Disclosure: Minimizing User Cognitive Load
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I’ve been thinking about progressive disclosure. As long as the delta is minimal, users should be able to keep up
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Replit Shell Gets 200x Speed Boost and Multiplayer Features
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Three big updates to the Shell: – Speed: 200x faster
– Persistence: Still there after refresh
– Multiplayer: Share a shell session with coworkers Technical details from @_jzhao and @szymon_k here: https://
blog.replit.com/shell2 -
Serverless Agentic Workflows with Amazon Bedrock Course
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New short course: Serverless Agentic Workflows with Amazon Bedrock. Learn to build and deploy serverless agents in this course created with @awscloud and taught by @mikegchambers, a Senior Developer Advocate at AWS specializing in GenAI. (Disclosure: I serve on Amazon's board.)… pic.twitter.com/bNOYEwSv3w
— Andrew Ng (@AndrewYNg) 16 octobre 2024New short course: Serverless Agentic Workflows with Amazon Bedrock. Learn to build and deploy serverless agents in this course created with @awscloud and taught by @mikegchambers
, a Senior Developer Advocate at AWS specializing in GenAI. (Disclosure: I serve on Amazon's board.) -
LangGraph Enhances Multi-Agent Architectures with Subgraph Support
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multi agent architectures are pretty easily implemented via subgraph support in LangGraph we added improved support for subgraphs in LangGraph including studio support for subgraph, time travel, human in the loop
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Databricks Launches New SQL Editor for Data Analysis
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Introducing the new SQL editor for exploratory data analysis and data engineering.
— Databricks (@databricks) 16 octobre 2024
New features include: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, and a variety of editor productivity features. https://t.co/EiMHon96Kw pic.twitter.com/Lsa5D0bMAiIntroducing the new SQL editor for exploratory data analysis and data engineering. New features include: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, and a variety of editor productivity features. https://
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Memory optimization tips for loading large LLMs PyTorch
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Some tips & tricks for reducing how much memory you use when loading larger LLMs & other models in PyTorch: https://
bit.ly/489XajJ v/
@rasbt