LLM Context Length Growth - The industry has witnessed a significant expansion in LLM context length over time [1] - GPT-3.5-turbo initially supported 4k tokens [1] - OpenAI GPT4 extended the limit to 8k tokens [1] - Claude 2 further increased the context length to 100k tokens [1] - Llama 3 achieved a context length of 128k tokens [1] - Gemini reached an impressive 1M tokens [1]

RT Avi Chawla (@_avichawla)You are in an ML interview.Your interviewer asks: "Why is Kernel Trick called a Trick?"Here's how to answer (with simple maths): ...

Machine Learning Insights - The document shares tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) [1] - The document presents an explanation of "Kernel Trick" in the context of an ML interview question [1] Engagement & Networking - The author encourages readers to reshare the content [1] - The author shares their social media handle for further engagement [1]

Kernel Methods - RBF kernel function 在高维空间计算点积方面表现更优异 [1] - Kernel trick 的复杂度与数据点总数呈二次方关系 [1] Computational Complexity - Kernel trick 在处理大量数据时可能面临计算复杂性挑战 [1]

机器学习面试准备 - 文档模拟机器学习面试场景 [1] - 面试问题聚焦于 Kernel Trick 的本质 [1] Kernel Trick 概念解析 - Kernel Trick 被称为 "Trick" 的原因分析 [1] - 提供 Kernel Trick 的数学解释 [1]

RT Avi Chawla (@_avichawla)3 prompting techniques for reasoning in LLMs: https://t.co/UAW6kQ1gPl ...

RT Avi Chawla (@_avichawla)DeepMind built a simple RAG technique that:- reduces hallucinations by 40%- improves answer relevancy by 50%Let's understand how to use it in RAG systems (with code): ...

RAG技术提升 - DeepMind 开发了一种简单的 RAG 技术，将幻觉减少 40% [1] - 该技术将答案相关性提高了 50% [1] RAG系统应用 - 行业正在探索如何在 RAG 系统中使用该技术（附带代码）[1]

Run the appBeam launches the container and deploys our streamlit app as an HTTPS server that can be accessed from a web browser.In the video, our workflow is able to answer a query that's unrelated to the document. The evaluation step makes this possible.Check this 👇 https://t.co/bwmQ5GRYXU ...

DeepMind built a simple RAG technique that:- reduces hallucinations by 40%- improves answer relevancy by 50%Let's understand how to use it in RAG systems (with code): ...