Weekend learning! An hour and half of complete tutorial of how to build agents using Flowise by the goat @leonvz https://
youtube.com/watch?v=9TaRks
XuLWY
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LLMS
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Complete Flowise Agent Building Tutorial Guide
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What AI agents must do to replace ChatGPT UI
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I see. But this would be a quality of llms underneath. I am wondering what should ai agent be able to do, so instead of going to ChatGPT UI directly lets say, you would need to rely on the ai agent
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FineWeb Dataset Updated With December 2024 Knowledge Cutoff
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Big update for teams pretraining LLMs: the FineWeb dataset has just been updated with a knowledge cut-off at Dec 31th 2024
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Building Custom RAG Pipelines for Generative AI Applications
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RAG-Driven #GenerativeAI — Build custom Retrieval Augmented Generation pipelines: http://
amzn.to/3MWnIek v/ @PacktPublishing ——
#AI #MachineLearning #DataScience #GenAI #LLMs
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Implement RAG’s traceable outputs, linking each response to its source -
Generative AI Integration Patterns for LLM Applications
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Generative #AI Application Integration Patterns — Integrate large language models into your applications: https://
amzn.to/3ZxirkU v/ @PacktPublishing ———
#LLMs #DataScience #ML #GenAI #GenerativeAI #DeepLearning #MachineLearning #DataScientists
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Key Features:
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Perplexity’s limited reasoning tasks still need manual double-checking
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Love perplexity but there is still a limited range of reasoning tasks that won't require you to manually double-check it afterwards Which I think is rather a common issue
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LLM Engineer’s Handbook: Master Large Language Models Engineering
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktPublishing ——
#DataScience #LLMOps #ML #GenAI #AI #GenerativeAI #MachineLearning ——
𝓦𝓱𝓪𝓽 𝔂𝓸𝓾 𝔀𝓲𝓵𝓵 𝓵𝓮𝓪𝓻𝓷:
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Model generates byte64 output directly as response
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Nope, it is generating byte64 output directly as a model response
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Claude Sonnet outperforms larger models in practical applications
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It’s a great architect model from my experience + for planning/ spec etc But sonnet wins for pretty much all my use cases so far tho.. maybe it’s a skill issue