LLMs
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X @mert | helius.dev
mert | helius.dev· 2025-11-09 18:58
technological paradigm shifts are what define entire markets but theyre rarein crypto:1st shift: bitcoin2nd: programmability (ethereum)3rd: scale (solana)4th: privacy (zcash)note how privacy also coincides with the paradigm shift of AI and LLMstrillions ...
X @Avi Chawla
Avi Chawla· 2025-11-08 06:31
AI Agent Workflow Platforms - Sim AI is a user-friendly, open-source platform for building AI agent workflows, supporting major LLMs, MCP servers, and vectorDBs [1] - Transformer Lab offers tools like RAGFlow for deep document understanding and AutoAgent, a zero-code framework for building and deploying Agents [2] - Anything LLM is an all-in-one AI app for chatting with documents and using AI Agents, designed for multi-user environments and local operation [6] Open-Source LLM Tools - Llama Factory allows training and fine-tuning of open-source LLMs and VLMs without coding, supporting over 100 models [6] - RAGFlow is a RAG engine for building enterprise-grade RAG workflows on complex documents with citations, supporting multimodal data [2][4] - AutoAgent is a zero-code framework for building and deploying Agents using natural language, with universal LLM support and a native Vector DB [2][5] Key Features & Technologies - Sim AI's Finance Agent uses Firecrawl for web searches and Alpha Vantage's API for stock data via MCP servers [1] - RAGFlow supports multimodal data and deep research capabilities [2] - AutoAgent features function-calling and ReAct interaction modes [5] Community & Popularity - Sim AI is 100% open-source with 18 thousand stars [1] - Transformer Lab is 100% open-source with over 68 thousand stars [2] - LLaMA-Factory is 100% open-source with 62 thousand stars [6] - Anything LLM is 100% open-source with 48 thousand stars [6] - One project is 100% open-source with 8 thousand stars [3]
X @Avi Chawla
Avi Chawla· 2025-11-07 19:00
RT Avi Chawla (@_avichawla)5 Agentic AI design patterns, explained visually!Agentic behaviors allow LLMs to refine their output by incorporating self-evaluation, planning, and collaboration!The visual depicts the 5 most popular design patterns for building AI Agents.1️⃣ Reflection patternThe AI reviews its own work to spot mistakes and iterate until it produces the final response.2️⃣ Tool use patternTools allow LLMs to gather more information by:- Querying a vector database- Executing Python scripts- Invoki ...
X @Avi Chawla
Avi Chawla· 2025-11-07 06:36
5 Agentic AI design patterns, explained visually!Agentic behaviors allow LLMs to refine their output by incorporating self-evaluation, planning, and collaboration!The visual depicts the 5 most popular design patterns for building AI Agents.1️⃣ Reflection patternThe AI reviews its own work to spot mistakes and iterate until it produces the final response.2️⃣ Tool use patternTools allow LLMs to gather more information by:- Querying a vector database- Executing Python scripts- Invoking APIs, etc.This is helpfu ...
X @Avi Chawla
Avi Chawla· 2025-11-06 11:53
AI Engineering & RAG - The document discusses building a unified query engine over data spread across several sources using vector DB and RAG (Retrieval-Augmented Generation) [1] - It presents a scenario of an AI engineer interview at Google, focusing on querying data from sources like Gmail and Drive [1] - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs [1]
X @Avi Chawla
Avi Chawla· 2025-11-03 12:42
Product Update - Firecrawl's v2 endpoint enables scraping visual content for multimodal LLM applications [1] - The new endpoint supports filtering by resolution, aspect ratio, and image type [1] Community Engagement - The project has garnered over 66 thousand stars on GitHub [1] Application - The scraped images can be used to fine-tune LLMs [1]
X @TechCrunch
TechCrunch· 2025-11-01 15:02
Research Focus - Andon Labs 的 AI 研究人员测试了 LLM 在真空机器人中的应用,以评估其具身智能的准备程度 [1] - 该研究观察到 LLM 嵌入机器人后产生的有趣现象 [1]
X @Elon Musk
Elon Musk· 2025-10-31 21:35
RT DataRepublican (small r) (@DataRepublican)This is how fast Grok has evolved in 10 months.I like to evaluate LLMs by asking them to do SVG images. Why? SVG is a markup language - you have to reason around it. It's not generative AI photos. You have to write code that says "draw a circle for the cat's face, draw two triangles for the ear" and so on. You have to be able to describe what a cat looks like at an abstract level.The left is Grok creating a SVG of a Siamese cat from December 2021. The right is Gr ...
X @mert | helius.dev
mert | helius.dev· 2025-10-30 10:45
Negative Impact of LLMs on Social Media - LLMs significantly increased the number of bots on social media platforms [1] - LLMs have led to a surge in misinformation and falsehoods [1] - LLMs amplified the presence of individuals with Dunning-Kruger effect, falsely believing they are technical experts [1] Concerns Regarding LLM Reliability - LLMs are prone to hallucinations, raising concerns about their reliability [1]
X @Nick Szabo
Nick Szabo· 2025-10-29 19:42
RT Nick Szabo (@NickSzabo4)@Kalshi Makes sense. LLMs have answered far more of my questions over the last year than Canadians have. ...