Articles for category: AI Tools

Using synthetic training data to improve Flux finetunes

I know, I know. We keep blogging about Flux. But there’s a reason: It’s really good! People are making so much cool stuff with it, and its capabilities continue to expand as the open-source community experiments with it. In this post I’ll cover some techniques you can use to generate synthetic training data to help improve the accuracy, diversity, and stylistic range of your fine-tuned Flux models. Getting started To use the techniques covered in this post, you should have an existing fine-tuned Flux model that needs a little improvement. If you haven’t created your own fine-tuned Flux model yet,

The H100 GPU’s Role in Advanced AI Development

Introduction The H100, Nvidia’s latest GPU, is a powerhouse built for AI, boasting 80 billion transistors—six times more than the previous A100. This allows it to handle massive data loads much faster than any other GPU on the market. AI or any deep learning applications need significant processing power to train and run effectively. The H100 comes with powerful computing capabilities, making the GPU perfect for any deep learning tasks. The GPU is built to train large language models (LLMs) for text generation, language translation, develop self-driving cars, medical diagnosis systems, and other AI-driven applications. H100, built on Hopper architecture,

The AI Agent Conference by LangChain

Interrupt is LangChain’s inaugural conference, where we’re exploring what the future of AI agents looks like — from their untapped potential, to practical use cases, to risks and challenges. This is a meeting of the minds for anyone building AI agents — whether you’re a software engineer, AI/ML practitioner, data scientist, researcher, or engineering leader. Interrupt will take place on May 13-14 at The Midway in San Francisco. Space is limited to 750 attendees — grab your early-bird tickets here. A new era of AI agents pushing into production   LangChain’s goal has always been to help developers build applications that can reason

A Day at the Center of the AI Boom (2023)

Sponsored By: Crowdwave Not ready to invest in an expensive, months-long market research study? Meet Crowdwave, the AI-powered platform that delivers human-like responses to your market research questions in just minutes—at a fraction of the cost. Up to 1,000 AI respondents answer your questions in real time  Access instant toplines with precise insights tailored to your needs Crowdwave | Market research at the pace of business Yesterday was OpenAI’s DevDay, and ICYMI, Dan Shipper published his first impressions right out of the gate. His overall takeaway: The company behind ChatGPT has made important incremental progress on the path to GPT-5.

How ProPublica Uses AI Responsibly in Its Investigations

How ProPublica Uses AI Responsibly in Its Investigations. Charles Ornstein describes how ProPublic used an LLM to help analyze data for their recent story A Study of Mint Plants. A Device to Stop Bleeding. This Is the Scientific Research Ted Cruz Calls “Woke.” by Agnel Philip and Lisa Song. They ran ~3,400 grant descriptions through a prompt that included the following: As an investigative journalist, I am looking for the following information — woke_description: A short description (at maximum a paragraph) on why this grant is being singled out for promoting “woke” ideology, Diversity, Equity, and Inclusion (DEI) or advanced

Introducing Deephaven’s new calendar API

Deephaven 0.32.0 introduced a number of new features, as well as improvements to old ones. Key features of the overhauled calendar API include: An updated Java calendar API that boosts performance in table operations. A streamlined Python API designed to minimize the chances of calling Python from query strings. Simple and intuitive naming conventions for ease of use. Support for user-defined calendars. Conversion between Deephaven and NumPy calendar formats. The new Python API is designed to be minimal, and facilitate the use of the Java API in query strings. The new calendar class provides the following methods: Method Description add_calendar

Data Machina #251 – Data Machina

Three New Powerful Open AI Models. I’m told by colleagues at Hugging Face that just a week since LLama-3 was released, more than +10,000 model derivatives have been developed! The pressure on black-box, closed AI models is huge, and achieving GPT-4 performance with open, smallish models is upon us. Which is great. In the last few days, three new, smallish, powerful open AI models were released. Interestingly enough, the power of these 3 models is based on a combination of: 1) Innovative training architectures and optimisation techniques, and 2) Data quality for different types of data (synthetic, public or private).

AIE World’s Fair 2024 Keynote

Together with my fellow authors of “What We’ve Learned From A Year of Building with LLMs”, we were invited to give the closing keynote at the AI Engineer World’s Fair 2024. Speaking at the closing keynote of AIEWF 2024 Here are the slides (with the recording to be released soon). I wish I had the time to make the formatting more consistent, but the slides were only finalized the night before keynote and I was too exhausted after the intense and enriching conversations (my bat signals on twitter and linkedin worked well) and social activities, lots of social activities. Reflections

AI AVATAR CUSTOMIZATION: What You Need to Know

Previously, there was a need for your digital companion to look a specific way. But as digital companions become more commonplace and virtual engagement becomes a standard practice, selecting what your AI companion looks like is easy. Personality no longer needs to be chosen from a predetermined roster. Where there once was stock and basic personality with an AI avatar, now with this software, avatars can be made to anyone’s specifications, creating an even more personalized attachment to what was once just a bot conversing with you. This is how you can get your perfect looking, sounding companion. Aesthetically pleasing