RAG makes LLMs better and equal | Pinecone
Learn AI
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…
What is Prompt Engineering? | prmpts.AI
Prompt sandbox
What are Vector Embeddings | Pinecone
Rerankers and Two-Stage Retrieval
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Ultimate ChatGPT Pack (20k Prompts)
👇🏻Access Your 1000+ ChatGPT Marketing Prompts Handbook here 👇🏻
There Will Be No AGI | by FS Ndzomga | in MLearning.ai - Freedium
Anthropomorphic Views of LLMs and AGI Hopes
Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS
In this example, we’ll imagine that our chatbot needs to answer questions about the content of a website. To do that, we’ll need a way to store and access that information when the chatbot generates its response.
Eugene Yan
I design, build, and operate machine learning systems that serve customers at scale. I also write about data/ML systems and career.
What is a large language model (LLM)? | Cloudflare
Large language models (LLMs) are machine learning models that can comprehend and generate human language text. Learn how LLMs work and their security risks.
What is Machine Learning? Definition, Types, Tools & More
Learn what machine learning is, how it differs from AI and deep learning, and why it is one of the most exciting fields in data science.
Machine Learning, often abbreviated as ML, is a subset of artificial intelligence (AI) that focuses on the development of computer algorithms that improve automatically through experience and by the use of data. In simpler terms, machine learning enables computers to learn from data and make decisions or predictions without being explicitly programmed to do so.
Learn Python, Data Viz, Pandas & More | Tutorials | Kaggle
Practical data skills you can apply immediately: that's what you'll learn in these no-cost courses. They're the fastest (and most fun) way to become a data scientist or improve your current skills.
Intro
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