Viewing profile — jamesbriggs

We used frameworks in the past, tried langchain, langgraph, and Openai's agents SDK pretty extensively. Now we roll our own, generally a much better and cleaner experience. We esse…

My bad, the link was wrong - you found the right one. I've updated it in the repo too, thanks. Let me know how it goes!

Sharing my walkthrough on fine-tuning LLMs with LoRA using NVIDIA's NeMo microservices. The result is a llama-3.2-1b-instruct model fine-tuned to be really good at function-calling…

Releasing this walkthrough on fine-tuning LLMs with LoRA using NVIDIA's NeMo Microservices (they sponsored the video, but with no reqs on what I do or say). We cover a ton on build…

I made a course covering everything you'd need to know to start building with LangChain. It assumes no level of expertise, you can be a complete beginner and by the end of the cour…

Tutorial showing how to do faster and more deterministic function calling using the open source Semantic Router library

I and my team have been building a python library for improving the steerability of AI agents, the library also allows us to add an essentially unlimited number of tools to agents,…

Not weighing on whether it is AGI-like or not, but my view on the search component is that it's like when we google info, we have a search term and we don't know whether that will …

Yeah RAG has been around for some time, paper [2] being where I first stumbled onto it — I remember a 2-3 years ago building a RAG pipeline using either the model they trained in p…

I may be misunderstanding, but I'll try to answer — quantization typically means retrieval will be slower (if referring to techniques like product quantization), but that is the ca…

Very cool, how are you doing the speech-to-text part, with Whisper?

For Huberman Podcast I imagine he pays someone to do the annotations manually, so they're accurate. But on most videos I've found Whisper's annotations to be more accurate than You…

I should add, Riley used the ada embedding model (rather than sentence transformers). Performance wise they should be similar (in ability to encode meaning accurately) but the ada …

you can return the chunks of text containing the answers, but not generate answers as that isn't what text-embedding-ada-002 is for. For that you need generation model (davinci in …

I built something similar using a variety of YouTube channels focused on NLP, AI, etc. The app is here https://huggingface.co/spaces/jamescalam/ask-youtube - you can ask things lik…

Hi, author of the article here. They act as a "position signal" that modifies the patch embedding. The learned signals are similar to other neighbouring position signals, and the l…