What is LLM React ?

📹 VIDEO TITLE 📹
What is LLM ReAct ?

✍️VIDEO DESCRIPTION ✍️
The ReAct framework (Reasoning + Acting) is a powerful approach that enhances large language models (LLMs) by enabling them to think step-by-step while interacting with external environments. Unlike traditional LLMs that generate responses in a single pass, ReAct allows models to reason through a problem, take actions such as retrieving external data or interacting with APIs, and refine their answers based on feedback. This synergy improves decision-making, factual accuracy, and interpretability, making ReAct ideal for tasks requiring real-time updates, multi-step reasoning, and tool integration.

The ReAct framework was introduced in the 2022 academic paper titled "ReAct: Synergizing Reasoning and Acting in Language Models" by Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao.This paper explores how large language models (LLMs) can generate both reasoning traces and task-specific actions in an interleaved manner, allowing for greater synergy between the two. The authors applied ReAct to a diverse set of language and decision-making tasks, demonstrating its effectiveness over state-of-the-art baselines, as well as improved human interpretability and trustworthiness over methods without reasoning or acting.

By the end of this video, you'll understand why ReAct is a game-changer in AI and how it can be applied to improve various applications, from AI assistants to research tools. If you're interested in building smarter AI systems, this is a must-watch! Don’t forget to like, subscribe, and drop your thoughts in the comments!

🧑‍💻ACADEMIC PAPER 🧑‍💻
arxiv.org/pdf/2210.03629

📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽
Build an MP Neuron with PyTorch -    • Build an MP Neuron with PyTorch  
LangChain versus LangGraph -    • LangChain versus LangGraph  
Chroma versus Pinecone Vector Database -    • Chroma versus Pinecone Vector Database  
What is the Chroma Vector Database ? -    • What is the Chroma Vector Database ?  
RAG with OpenAI & Pinecone Vector Database ? -    • RAG with OpenAI & Pinecone Vector Database ?  
What are LLM Function Calls ? -    • What are LLM Function Calls ?  
Embeddings with Open AI & Pinecone Vector Database -    • Embeddings with Open AI & Pinecone Vector ...  
What is Hugging Face? -    • What is Hugging Face ?  
RAG vs Fine-Tuning -    • RAG versus LLM Fine-Tuning  
What is RAG ? -    • What is RAG ?  
What is the Perceptron? -    • What is the Perceptron ?  
What is the MP Neuron? -    • What is the MP Neuron ?  
What is Physical AI ? -    • What is Physical AI ?  
What is the Turing Test ? -    • What is the Turing Test?  
What is LLM Alignment ? -    • What is LLM Alignment ?  
What are Agentic Workflows? -    • What are Agentic Workflows ?  
Why is AI going Nuclear? -    • Why is AI going Nuclear?  
What is Synthetic Data? -    • What is Synthetic Data?  
What is NLP? -    • What is NLP ?  
What is Open Router? -    • What is Open Router ?  
What is Sentiment Analysis? -    • What is Sentiment Analysis ?  
What is Mojo ? -    • What is Mojo ?  

LangChain HelloWorld with Open GPT 3.5 -    • LangChain HelloWorld with Open GPT 3.5  
Forget about LLMs What About SLMs -    • Forget about LLMs What About SLMs ?  
What are LLM Presence and Frequency Penalties? -    • What are LLM Presence and Frequency Penalt...  
What are LLM Hallucinations ? -    • What are LLM Hallucinations ?  
Can LLMs Reason over Large Inputs ? -    • Can LLMs Effectively Reason over Large Inp...  
What is the LLM’s Context Window? -    • What is the LLM's Context Window ?  
What is LLM Chain of Thought Prompting? -    • What is LLM Chain of Thought Prompting?  
Algorithms for Search Similarity -    • Algorithms for Search Similarity  
How LLMs use Vector Databases -    • How LLMs use Vector Databases  
What are LLM Embeddings ? -    • What are LLM Embeddings ?  
How LLM’s are Driven by Vectors -    • How LLM’s are Driven by Vectors  
What is 0, 1, and Few Shot LLM Prompting ? -    • What is 0, 1, and Few Shot LLM Prompting ?  
What are the LLM’s Top-P and TopK ? -    • What are the LLM’s Top-P + Top-K ?  
What is the LLM’s Temperature ? -    • What is the LLM’s Temperature ?  
What is LLM Prompt Engineering ? -    • What is LLM Prompt Engineering ?  
What is LLM Tokenization? -    • What is LLM Tokenization ?  
What is the LangChain Framework? -    • What is the LangChain Framework?  
CoPilots vs AI Agents -    • AI CoPilots versus AI Agents  
What is an AI PC ? -    • What is an AI PC ?  
What are AI HyperScalers? -    • What are AI HyperScalers?  
What is LLM Fine-Tuning ? -    • What is LLM Fine-Tuning ?  
What is LLM Pre-Training? -    • What is LLM Pre-Training?  
AI ML Training versus Inference -    • AI ML Training versus Inference  
What is meant by AI ML Model Training Corpus? -    • What is meant by AI ML Model Training Corpus?  

🔠KEYWORDS 🔠
#ReAct
#ReActAI
#ReasoningAndActing
#LLMFramework
#AIReasoning
#AIActing
#ReActLLM
#LanguageModels
#ArtificialIntelligence
#LLMReasoning