Streamline your ML workflows and save valuable time by automating your pipelines and deploying models with confidence. Learn how to use GitHub Actions and integrate W&B experiment tracking in this practical, hands-on learning experience.

Big-data analytics firm Databricks Inc. has emerged as an unlikely player in the generative artificial intelligence space, open-sourcing a new AI model that it claims is “as magical as ChatGPT,” d

To understand the limitations of large language models (LLMs), we have to understand the limitations of the underlying evaluation metrics. Today, we are…

🚀 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐋𝐋𝐌𝐎𝐩𝐬: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐌𝐋𝐎𝐩𝐬 𝐟𝐨𝐫 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈!

🤔 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐋𝐋𝐌𝐎𝐩𝐬?
LLMops is a… | 26 comments on LinkedIn

LLaMA adapters: a new paper that proposes finetuning large language models (LLMs) like LLaMA with greater efficiency (while matching Alpaca's modeling… | 15 comments on LinkedIn

A helicopter view of a machine learning project 🔽

Join a free MLOps course to learn how to organize each stage of the ML project!

During the course, you'll… | 15 comments on LinkedIn

With the latest trends in AI pushed by Large Language Models and the success of ChatGPT (OpenAI), businesses have been more and more…

We held a reading group on Transformers (watched videos / read blog posts / studied papers by @giffmana @karpathy @ch402 @amaarora @JayAlammar @srush_nlp et al.), and now I _finally_ roughly understand what attention does.

Here is my take on it. A summary…

Been working on LLMs in production lately. Here is an initial thoughtdump on LLMOps trends I’ve observed, compared/contrasted with their MLOps counterparts (no, this thread was not written by chat gpt)

We* are looking for a Student Researcher** to work with us on a project in intersection of modeling/generating speech/audio, NLP, and representation learning.

*AudioLM team @ Google Research (@zalanborsos, @neilzegh, myself and many others!)
**not-last-year…

The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language...

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters - GitHub - ZrrSkywalker/LLaMA-Adapter: Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

💥 𝐋𝐋𝐌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 💥

✅ 𝐀𝐥𝐩𝐚 is a system for training and serving large-scale neural networks. Scaling neural networks to…

Modern #DataArchitecture: An Overview of #Lambda and #Kappa Architectures
 
In the ever-changing world of #DataAndAnalytics, it can be challenging to assess…

PyTorch and TensorFlow are the most popular libraries for deep learning. PyTorch v2.0 was released a few days ago, so I wanted to test it…

Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.