LLMs and Programming in the first days of 2024 - antirez
The I in LLM stands for intelligence | daniel.haxx.se
The Million Dollar Matrix Multiply
More efficient matrix multiplication algorithms could save millions of dollars on computationally intense tasks such as training LLMs.
The future of LLMs is local
I saw this post over on json.blog, OpenAI Is Just Uber, which sounds like it makes sense, but I think is drawing the wrong conclusions on a couple fronts.
A decade later, ride-sharing hasn’t evolved significantly since its launch. Costs have risen as consumers now pay the actual
What I Learned Using Private LLMs to Write an Undergraduate History Essay
TL;DR Context Writing A 1996 Essay Again in 2023, This Time With Lots More Transistors ChatGPT 3 Gathering the Sources PrivateGPT Ollama (and Llama2:70b) Hallucinations What I Learned TL;DR I used …
Large Language Models in 2023: Tools and Assistants for Devs
It's been a big year for Large Language Models. For developers, the impact of LLMs has been largely felt in AI dev tools and assistants.
LLM is the last mile in making programming into an art - me.0xffff.me
Retrieval Augmented Generation for LLMs
Retrieval-augmented generation (RAG) is a cutting-edge approach in NLP and AI. Badrul Sarwar, a machine learning scientist, shares his tips.
No Robots(.txt): How to Ask ChatGPT and Google Bard to Not Use Your Website for Training
Both OpenAI and Google have released guidance for website owners who do not want the two companies using the content of their sites to train the company's large language models (LLMs). We've long been supporters of the right to scrape websites—the process of using a computer to load and read pages...
Data Quality in LLMs
Top 5 AI Engineering Trends of 2023
As well as the proliferation of LLMs, there has been an expansion of dev tools for AI. We look at five key trends this year in AI development.
LLM Visualization
Improving ChatGPT's Ability to Understand Ambiguous Prompts
Prompt engineering technique helps large language models (LLMs) handle pronouns and other complex coreferences in retrieval augmented generation (RAG) systems.
Possible OpenAI's Q* breakthrough and DeepMind's AlphaGo-type systems plus LLMs — LessWrong
tl;dr: OpenAI leaked AI breakthrough called Q*, acing grade-school math. It is hypothesized combination of Q-learning and A*. It was then refuted. De…
Running thousands of LLMs on one GPU is now possible with S-LoRA
It allows a user to be served with a personalized adapter while enhancing the LLM's response by adding recent data as context.
First thoughts on the Humane Ai Pin
Humane finally actually announced their first product: Ai Pin. Here's their introduction video.
I love technology, and I think I'm generally enthusiastic about new tech that pushes things forwards. I'm enthusiastic about the ways LLMs are creating so many new things that weren't even possible literally one year ago, and
Techniques for Using LLMs to Improve SQL Queries
First we fixed a bug in an SQL query. Then we rethought the design of the query. Here are further ways to use LLMs to adjust your SQL queries.
How Daily Dev Built an AI Search Using an LLM Gateway
How the tech news aggregator daily.dev created an AI search, including using an LLM Gateway to streamline and optimize interactions with LLMs.
Let’s Talk: Conversational Software Development
Here’s number 12 in the series on LLM-assisted coding over at The New Stack: Let’s Talk: Conversational Software Development I keep coming back to the theme of the first article in this serie…
The architecture of today's LLM applications
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
Demystifying LLMs: How they can do things they weren't trained to do
Explore how LLMs generate text, why they sometimes hallucinate information, and the ethical implications surrounding their incredible capabilities.
Let's Talk: Conversational Software Development
Asking LLMs to write code is a life-changer, but so is talking to them about the process. Jon Udell continues to explore LLMs for coders.
How to Think Computationally about AI, the Universe and Everything
In his TED Talk, Stephen Wolfram covers the emergence of space by the application of computational rules to spacetime, gravity and quantum mechanics to AI and LLMs. Computational irreducibility and the ruliad.
AutoGen | AutoGen
Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
AutoGen: Enabling next-generation large language model applications
Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do. Learn more.
FlowiseAI - Build LLMs Apps Easily
Open source UI visual tool to build your customized LLM flow using Langchain
What is LangSmith? Tracing and debugging for LLMs
Use LangSmith to debug, test, evaluate, and monitor chains and intelligent agents in LangChain and other LLM applications.
Benefits of Small LLMs
Opportunities and Limitations of Deploying Large Language Models in the Enterprise
There are ways to manage the non-deterministic nature of LLMs. Each of these approaches has its own trade-offs.
My "bicycle of the mind" moment with LLMs
Critics of LLM-based products like ChatGPT, Claude, Midjourney, and other such products like to brush them off as just this year’s version of NFTs. They’re crypto bullshit being peddled by the same jokers who are just out there to stow disinformation and make a quick buck.
I won’