Code Comprehension at Scale: Learning from the Bitter Lesson
Handcrafted tricks break at scale. The future of code comprehension lies in holistic, learning-based systems.
528 stories
Handcrafted tricks break at scale. The future of code comprehension lies in holistic, learning-based systems.
Discover LLM Orchestration, which transforms LLMs from simple command-takers into smart systems that solve real-world problems.
With Multimodal RAG, pictures, sounds, videos, and data visualizations, it's all in the mix for enhanced AI understanding.
Haystack is an AI orchestration framework that enables developers to effortlessly build custom AI pipelines using a modular, building-block approach. However, when it’s time to take those pipelines from your development environment to production, you’re often left with a tough decision: write…
Most LLM evals fail because their metrics don't predict ROI. This playbook shows how to build outcome-based evals that correlate with real business KPIs and user value.
Learn how to design and implement robust retrieval-augmented generation (RAG) pipelines, from document processing to retrieval optimization.
We're excited to announce the release of Nomic Embed Multimodal, a suite of models that achieve state-of-the-art performance in embedding PDFs, images, papers, and charts.This release includes four models, available in two sizes (3B and 7B parameters) and two variants:ColNomic Embed Multimodal (3B…
Objective EchoPrime is a foundation model designed for comprehensive echocardiographic interpretation. Unlike previous models that use single views or static images, EchoPrime integrates multi-view echocardiographic videos with corresponding text reports using a vision-language framework.
In retrieval-augmented generation (RAG) applications, the quality of the retrieved documents plays a critical role in delivering accurate and meaningful responses. But what happens when embedding similarity is not enough to get an accurate ordering of the reference documents?
TL;DR Scrape Squarespace/Shopify Websites for use with AI This web scraper runs entirely in your browser and is perfect for creating training data for AI models.
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
A practical guide to quickly building a functional retrieval-augmented generation system to demonstrate the value of AI-powered document search.
Explore the nuances of effective document chunking strategies for retrieval-augmented generation systems and how they impact LLM performance.
We introduce Mafin2.5, which is built based on PageIndex, with a 98.7% accuracy rate on the finance industry question-answering benchmark.
The latest release from DeepSeek confirms an essential truth about AI: there won’t be one model or provider to rule them all. As the field evolves, it’s evident that diverse models bring unique strengths, making a model-agnostic approach vital for developers and organizations alike.
In this article, we’ll explore how to build an agentic Retrieval Augmented Generation (RAG) pipeline on deepset Studio, the AI application prototyping tool for developers.
The original report in PDF can be downloaded here: https://translinkcapital.docsend.com/v/c98t5/backward_pass
Benefits of running a weekly paper club, how to start one, and how to read and facilitate papers.
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