Join our community champions Sonam Gupta and Arjun Patel in a live stream chat with Jacky Liu, a participant in our recent Coral hackathon. Jacky will show us how his team used the Chat with RAG endpoint to build Cosona, a chatbot emulating personas based on the user's documents.
AGENTS
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AI-First Organizations Can Build Multiple Agents Daily
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If you are an AI-first organization, you will be building a new AI agent every day! No, we are not kidding, it's definitely possible to do Use our AI agents platform. Some of our customers are up to 20+ agents in production
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Flowise 1.4.7 Patch Release Update
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Patch note: https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise1.4.7
… Patch image (by DallE): -
Build Bots with GPT-4, Claude 2, DALL-E 3, SDXL on Poe
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You can build your bot on top of LLMs like GPT-4, Claude 2, DALL-E 3, and SDXL, customize it with a knowledge base, and reach a worldwide audience of millions. Visit http://
poe.com/creators to join! (3/3) -

Poe Expands Creator Monetization Program to 17 New Countries
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Our creator monetization program is expanding to 17 new countries today! More bot creators across the globe will now have the opportunity to earn revenue from their bots on Poe. (1/3)
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Testing LLM Agents: Benchmarking Guide and Performance Evaluation
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11/ Test your own agent Want to test out a new LLM? Agent architecture? Prompting strategy? Run these benchmarks on your own agent by following this easy guide: https://
langchain-ai.github.io/langchain-benc
hmarks/notebooks/tool_usage/intro.html
… Performance is a function of the whole system. We were only able to clearly run a small -
Benchmarking Agent Tool Use: Error Analysis and Results
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12/ Final Note on the Charts Error bars computed as standard error, which is why the smaller datasets have wider error bars. Learn more at the blog post! Learn more at the blog post! https://
blog.langchain.dev/benchmarking-a
gent-tool-use/
… Special thanks to @veryboldbagel and @WHinthorn for putting -

Typewriter Task: Agent with 26 Letter Tools
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4/ Task 2: Typewriter (26 tools) Agent has 26 tools, 1 for each English letter. It has to type the provided word. https://
langchain-ai.github.io/langchain-benc
hmarks/notebooks/tool_usage/typewriter_26.html
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LangChain Typewriter Task: Agent Tool Usage Benchmark
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2/ Task 1: Typewriter (1 tool) Agent has 1 tool (a typewriter). It has to type the provided word. https://
langchain-ai.github.io/langchain-benc
hmarks/notebooks/tool_usage/typewriter_1.html
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GPT-4 Typewriter Task Performance Evaluation and Limitations
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3/ Typewriter results None of the agents are perfect. GPT-4 had a hard time typing "keyboard" and "head" https://
smith.langchain.com/public/ff14ecb
2-3664-4c4a-b2dc-d8aa9fd2185d/d
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