Blog

All blogs written by me (includes external blogs). You can subscribe to my RSS Feed here

MUVERA - Google’s FDE approach for speeding up multi-vector retrieval

W&B
RAG

Scale search with MUVERA: Google’s FDE approach cuts latency 18x while W&B observability ensures reliable, trackable experiments.

Aug 8, 2025

Using Google’s Agent Development Kit and Agent2Agent

W&B
Agents

Discover the Agent2Agent (A2A) open protocol for AI interoperability. Learn A2A principles & build a multi-agent system using Google’s ADK in our tutorial.

Apr 10, 2025

Deep reinforcement learning: Integrating neural networks with RL

W&B
RL

Explore how deep reinforcement learning combines neural networks and RL to enable agents to learn optimal strategies from raw data across gaming and robotics.

Apr 7, 2025

Supervised learning vs deep learning vs reinforcement learning

W&B
RL

Supervised vs deep vs reinforcement learning explained. See how AI uses labels, networks & rewards to learn, plus deep reinforcement learning examples.

Apr 5, 2025

LLMs are machine learning classifiers

W&B
LLMs

Learn how to use LLMs like GPT for text classification. Explore prompting, fine-tuning, and when to choose LLMs over traditional machine learning classifiers.

Jan 27, 2025

RAG techniques: From naive to advanced

W&B
RAG

Explore various RAG techniques, from basic to advanced, and discover how chunking, indexing, and query transformation can elevate your AI’s performance in complex use cases.

Oct 5, 2024

AI and regulatory compliance in finance

W&B
Finance

Explore regulatory compliance in finance, types of regulations, risks of non-compliance through real-world examples, and the role of technology and AI in safeguarding the financial world.

May 1, 2024

What is model risk management in finance?

W&B
Finance

This guide covers why Model Risk Management (MRM) is important to ensure financial models are accurate and safe, and provides tips for managing model risks effectively.

Apr 29, 2024

Building a Q&A Bot for Weights & Biases

W&B
RAG

In this article, we explore how to utilize OpenAI’s ChatGPT and LangChain to build a Question-Answering bot for Weights & Biases’ podcast series, Gradient Dissent.

Apr 25, 2023

BLIP-2: A new Visual Language Model by Salesforce

W&B
VLMs

In this article, we’ll explore BLIP-2, a new Vision Language Model by Salesforce which beats the previous state-of-the-art Flamingo on various multimodal tasks.

Feb 24, 2023

Is PyTorch 2.0 Faster Than PyTorch 1.13?

W&B
Pytorch

In this article, we make a comparison between the current stable version of PyTorch 1.13 with the latest announced PyTorch 2.0 to see which performs better.

Jan 24, 2023

SetFit: Efficient Few-Shot Learning Without Prompts

W&B

Publish your model insights with interactive plots for performance metrics, predictions, and hyperparameters. Made by Atharva Ingle using Weights & Biases

Nov 29, 2022

DeepMind Flamingo: A Visual Language Model for Few-Shot Learning

W&B
VLMs

In this article, we’ll explore Flamingo — an open-ended single visual language model (VLM) for multimodal machine learning research developed by DeepMind.

Nov 16, 2022

Hugging Face Accelerate Super Charged With Weights & Biases

W&B
Pytorch

In this article, we’ll walk through how to use Hugging Face Accelerate with W&B, demonstrating how easy it is to perform distributed training and evaluation.

Oct 15, 2022

3D Segmentation with MONAI and PyTorch Supercharged by Weights & Biases

W&B
Pytorch

A tutorial on how to use Weights & Biases with MONAI and PyTorch to accelerate your medical research. Made by Atharva Ingle using Weights & Biases

Aug 16, 2022
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