Weights & Biases

Vercel’s CEO & founder Guillermo Rauch on AI’s impact on web development and front end engineering

Snowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use cases

Elevating ML infrastructure with Modal Labs CEO Erik Bernhardsson

From no-code to AI-powered apps with Airtable’s Howie Liu

Launching the fastest AI inference solution with Cerebras Systems CEO Andrew Feldman

Reinventing AI Agents with Imbue CEO Kanjun Qiu

From startup to $1.2B with Lambda's Stephen Balaban

Harnessing AI for legal practice with CoCounsel’s Jake Heller

Transforming Search with Perplexity AI’s CTO Denis Yarats

AI in electronics: Quilter’s journey in PCB design

The Future of AI in Coding with Codeium CEO Varun Mohan

Shaping AI Benchmarks with Together AI Co-Founder Percy Liang

James Cham — Investing in the Intersection of Business and Technology

1. Build Your First Machine Learning Model

Enterprise Model CI/CD: Webhook Automations for Model Deployment

Peter Wang — Anaconda, Python, and Scientific Computing

Peter & Boris — Fine-tuning OpenAIs GPT-3

Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex

The Explainability Benefits of Open Source LLMs

Navigating the New Era of AI with Pinecone CEO Edo Liberty

Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases

Debug your YOLOv5 experiments with Weights & Biases

Anthony Goldbloom — How to Win Kaggle Competitions

Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases

The Future of Content Creation and AI: Insights from Cristóbal Valenzuela

Enhance Low Light Images using Keras, Python and Weights & Biases

The future of trust in LLMs

Using RL for PCB Design

オープンソースRLHFのためのフレームワーク、trlXで、次世代の巨大モデルを構築

10. Seq2Seq Models

Probability - Math for Machine Learning

NN Basics in Keras: Tensors, Tensor Operations & More

Lukas x Amjad: Will Prompt Engineer Become a Job Title?

Calculus - Math for Machine Learning

Weights & Biases: The AI Developer Platform for MLOps and LLMOps

6. Recurrent Neural Networks [RNNs]

Memory in LLM Applications

11. Transfer Learning for Domain-Specific Image Classification with Small Datasets

ML Model Registry Part 1: Logging and Registering in Weights & Biases

🔥 Integrate Weights & Biases with PyTorch

4. Autoencoders

W&B Study Group: fastai w/Hugging Face 2/4

Roger & DJ — The Rise of Big Data and CAs COVID-19 Response

Linear Algebra - Math for Machine Learning

NeurIPS Hacker Cup AI: DSPy for code generation

How Interpretability Research Helps Build Better Models

Install YOLOv5 to Detect Objects on Windows & Google Colab with PyTorch GPU Support | Part 1

Generative AI Strategy with Chip Huyen of Claypot AI

Introducing Weights and Biases

Collect and Label Images to Train a YOLOv5 Object Detection Model in PyTorch | Part 2

Weights and Biases Product Overview

Intro to Keras API and ML Basics

Your Guide to Discord's GPT-4 Wandbot: Chapter 2

Train a Custom YOLOv5 Model on Google Colab and Detect Objects In Real Time on Windows | Part 3

The Importance and Concern of NLP in National Intelligence with Sean Gourley, Primer CEO

Training a question answering model with fastai & blurr

Meta Announces Llama 3 at Weights & Biases’ conference

13. Speech Recognition with Convolutional Neural Networks in Keras/TensorFlow

Managing ML Pipelines in TensorFlow Extended with Hannes Hapke