LLM Augmented LLMs: Expanding Capabilities through Composition
Learn AI
Absolute beginners guide to making sense of key AI terms in 2023
Thanks to the explosion of ChatGPT, several terms that are used in the field of AI meant for researchers are getting thrown out into more…
RAG But Better: Rerankers with Cohere AI
Rerankers have been a common component of retrieval pipelines for many years. They allow us to add a final "reranking" step to our retrieval pipelines — like...
Making Retrieval Augmented Generation Better with @jamesbriggs
Join, Pinecone Developer Advocate, @jamesbriggs as he delves into retrieval augmented generation (RAG) and explores its role in enhancing Large Language Mode...
LangChain - Advanced RAG Techniques for better Retrieval Performance
In this Video I will show you multiple techniques to improve RAG Applications. We will have a look at ParentDocumentRetrievers, MultiQueryRetrievers, Ensembl...
Advanced RAG 06 - RAG Fusion
Colab: https://drp.li/PZG2tBlog Post: https://towardsdatascience.com/forget-rag-the-future-is-rag-fusion-1147298d8ad1Original Code: https://github.com/Raudas...
ReAct: Synergizing Reasoning and Acting in Language Models
Introduction to Linear Regression for Machine Learning
In this post, I will go over the concept of simple linear regression, delve into the underlying mathematical principles of the algorithm, and explore its practical application in the field of machine learning.
1706.03762 - Attention Is All You Need
The paper presents the Transformer, an innovative attention-based model for sequence transduction that sets new benchmarks for efficiency and performance.
(1) James Lin on X: "Essential ML papers: 1. Transformers: Attention is All You Need https://t.co/oA5TGGqu9s 2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://t.co/9ekAqIRQxs 3. GPT: Language Models are Few-Shot Learners https://t.co/oBVEwfOoLB 4. CNNs:…" / X
Essential ML papers:1. Transformers: Attention is All You Needhttps://t.co/oA5TGGqu9s2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://t.co/9ekAqIRQxs3. GPT: Language Models are Few-Shot Learnershttps://t.co/oBVEwfOoLB4. CNNs:…— James Lin (@jlinbio) January 6, 2024
AI/ML Research, Explained | Emergent Mind
Stay informed about important new AI/ML arXiv research papers.
RAG makes LLMs better and equal | Pinecone
The Modern AI Stack: Design Principles for the Future of Enterprise AI Architectures - Menlo Ventures
More than ever, machines are capable of reasoning, creation, and creativity—driving enterprises to reconstruct their tech stacks.
Chatting with your private data using LangChain with Azure OpenAI Service
Introduction #In this post we discuss how we can build a system that allows you to chat with your private data, similar to ChatGPT.
Why You Shouldn't Invest In Vector Databases? | by Yingjun Wu | in Data Engineer Things - Freedium
Delving into the vector database field from three perspectives: technology, applications, and the...
Vector%20 databases%20 %20 a%20 technical%20 primer
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htmldocs
An online document editor for creating and automating generation of PDF documents from HTML/CSS. No installation required, REST API, and free to use. Hundreds of templates from invoices, reports, resumes, legal documents, and more.
cantino/mcfly: Fly through your shell history. Great Scott!
Fly through your shell history. Great Scott! Contribute to cantino/mcfly development by creating an account on GitHub.
vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Artificial Intelligence: Principles & Techniques I Stanford Online
Advances In Conversational Dialog State Management
Any Conversational User Interface needs to perform dialog state management, determining what the next dialog state & system response should…
Stuff we figured out about AI in 2023
2023 was the breakthrough year for Large Language Models (LLMs). I think it’s OK to call these AI—they’re the latest and (currently) most interesting development in the academic field of …
LLMs and Programming in the first days of 2024 - antirez
100 Days of Artificial Intelligence | by Alex Moltzau | Towards Data Science
Writing One Article About AI every day for 100 days
Install Stable Diffusion XL on MacOS
DALL-E & Midjourney are great but free is better.
Phi2 finetune own data
A Mere Mortal's Visual Guide To AI Vector Embeddings
so you can be the life of the party
Build LLM Apps with LangChain.js - DeepLearning.AI
Efficient LLM inference
On quantization, distillation, and efficiency
Function Calling With Anthropic Claude and Amazon Bedrock
Amazon Bedrock is a powerful platform that grants seamless access to some of the most advanced Large Language Models (LLMs) through a…