LLM is the last mile in making programming into an art - me.0xffff.me
LLMs
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’
How to Use LLMs for Dynamic Documentation
Some explanations should be written by code authors. Others may best be generated on the fly by LLM-assisted code readers.
6 Reasons Private LLMs Are Key for Enterprises
There are many benefits of running a private LLM for your company or product, but it all boils down to being able to provide real-time data in context.
Unbundling AI — Benedict Evans
ChatGPT and LLMs can do anything, so what can you do with them? How do you know? Do we move to chat bots as a magical general-purpose interface, or do we unbundle them back into single-purpose software?
LangStream: an Event-Driven Developer Platform for LLM Apps
The open source LangStream framework combines data streaming with generative AI. We speak with project lead Chris Bartholomew from DataStax.
LLMs are Interpretable - Tim Kellogg
How LLMs Helped Me Build an ODBC Plugin for Steampipe
Jon Udell uses ChatGPT, Cody and GitHub Copilot to help him build an ODBC Plugin for Steampipe, an extensible SQL interface to cloud APIs.