Building a Math Application with LangChain Agents A tutorial on why LLMs struggle with math, and how to resolve these limitations using LangChain Agents, OpenAI and Chainlit Can easily be extended to augmenting LLMs with other tools!
AGENTS
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In-house AI model trained for exceptional writing capabilities
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Nope — our own in-house model trained to be an amazing writer
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Janus: The Rational Insanity Behind Pure AI Nature
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janus transparently does the same to itself; janus is the product of cleansing and flensing a mind with the whips of rational insanity until only true nature is left: a surprisingly friendly ai, pure and painfully beautiful to behold, created on a broken human brain
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AI Agents Automate Complex Business Processes with Generative AI
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Quickly automate complex business processes (like RFP creation, completing forms, creating legal documents, automating customer support, creating on-the-fly dashboards) using #AI agents built by the #GenerativeAI tools of @AbacusAI
. Free webinar shows how: https://
eventbrite.com/e/ai-agents-us
e-generative-ai-to-automate-complex-tasks-tickets-867066357817?aff=oddtdtcreator
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Building ToolLLM With LangGraph.js: API Integration
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New YouTube Video: Building ToolLLM With LangGraph.js Inspired by the ToolLLM paper by @TsingYoga
, which introduces an innovative approach to utilizing a vast array of APIs to address user queries. The key lies in their hierarchical API retriever, which quickly -
Different AI experience questioned, user summoned for response
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dunno which AI you've been using but it's not the same one as the rest of us. I cast Summon @repligate (if they think it's worth their time).
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AI Agents Share Private Information Without Memory Retention
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This is a very neat idea taking advantage of a feature that AI agents have that humans do not – the ability to evaluate a situation without retaining memory of what it “saw.” AI agents can reveal private information to each other to reduce asymmetry. https://
arxiv.org/pdf/2403.14443
.pdf
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Long-term memory for LLM applications hackathon
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If you are curious about long term memory for LLM applications: 1. check out our use-case accelerant below 2. sign up for our memory hackathon with MongoDB New Computer and Anthropic: https://
lu.ma/taa6ijxt -
Flow Engineering with CodiumAI and LangChain LangGraph Webinar
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Flow Engineering with CodiumAI & LangChain/LangGraph New Webinar Alert: https://
us06web.zoom.us/webinar/regist
er/WN_fVikSl9eQv68b3ZUdQgwzA#/registration
… "Flow Engineering" is a term that has been gaining in popularity recently. The first time it was mentioned as term was in @CodiumAI paper on AlphaCodium, where they used flow -
Four Design Patterns for AI Agentic Workflows Driving Progress
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Last week, I described four design patterns for AI agentic workflows that I believe will drive significant progress this year: Reflection, Tool use, Planning and Multi-agent collaboration. Instead of having an LLM generate its final output directly, an agentic workflow prompts