2/ The Rise and Potential of LLM Based Agents – a comprehensive overview of LLM based agents; covers from how to construct these agents to how to harness them for good.
LLMS
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LoRA, PEFT, and ChatGPT Backend Architecture Discussion
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I am glad you enjoyed the article. I plan to write about LoRA and PEFT(parameter-efficient fine-tuning) in general in a separate article. Yeah, ChatGPT uses GPT-3.5/4 in the backend, all of which are decoder models trained to predict the next token autoregressively.
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Google Gemini Outperforms GPT-4 by 5X in Latest Benchmark
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Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors https://
bit.ly/3PcLUtK
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Natural Language Replaces Regex in AI Development
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That is very true, regex is dead imo, it’s now natural language all the way down.
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Markov Chains: Fundamental Flow Mechanics in Machine Learning
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Markov Chains: Why Walk When You Can Flow? https://
bit.ly/3r1qd85
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AIM PhD Track: Advanced AI and Machine Learning Doctoral Program
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AIM PhD Track https://
bit.ly/3RivUZU
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Groq chip enables real-time language generation for fluid dialogue
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“If you want to have a fluid dialogue … it needs to be something that is fast,” @JonathanRoss321 said, adding that his chip “Enables language to be generated at a speed that feels like real time.” Read more in @ChaseDiFelice
's article in the @sfchronicle
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Langfuse Monitoring for Flowise LLM Flows
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Langfuse support Observe and monitor your LLM flow in Flowise using @langfuse
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Google PaLM Chat & Embedding Models Now Supported
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Google PaLM Chat & Embedding Apart from the existing Google Vertex AI, now PaLM models are also supported!
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Flowise v1.3.5 Update: ChatGPT Fine-tuning and LLM Integrations
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New release update! Flowise v1.3.5 with: Fine-tuned ChatGPT Google PaLM Chat & Embedding Langfuse support Rate Limiting Vectara Files Upload Fixes and upgrade of existing nodes