😉 Here’s a tough real-world benchmark to put your RAG pipeline to the test! Even LLMs like GPT-4 struggle, achieving less than 34% accuracy. Existing RAG datasets lack diversity and fail to repres...

🥁 Check out my comprehensive guide on the most popular tools and frameworks for building LLM applications. 👉 The landscape for building LLM applications is rich with a variety of tools and...

Check more PEFT (Parameters Efficient Fine-Tuning) methods : https://huggingface.co/docs/peft/index Fine-tuning large language models traditionally involved adjusting billions of parameters, d...

🤔 As a generative AI practitioner, I spend a good chunk of time developing task-specific metrics for various tasks/domains and use-cases. Microsoft’s AgentEval seems like a promising tool to assist...

10 Essential Components of a Production Web Application 1 - It all starts with CI/CD pipelines that deploy code to the server instances. Tools like Jenkins and GitHub help over here. 2 - The user ...

Meta’s latest “CoPE” paper isn’t getting the attention it deserves! The authors introduce a really innovative approach that utilizes context during positional encoding. Here’s a quick summary: ...

👉ETH (+Microsoft) announced MultiPly, a novel framework to reconstruct multiple people in 3D from monocular in-the-wild videos. It’s the new SOTA over the publicly available datasets and in-the-...

You should definitely check it out if you’re planning on building smarter LLM agents. It’s completely free! Anthropic has recently enabled tool use, allowing Claude models to call external tools o...

The right dev tool can save you precious time, energy, and perhaps the weekend as well. Here are our favorite dev tools: 1 - Development Environment A good local dev environment is a force mult...

Yesterday at COMPUTEX, Jensen Huang announced the release of NVIDIA NIM on Hugging Face Inference Endpoints! 🚀 NVIDIA NIM are inference services designed to streamline and accelerate the deploymen...