Search Latent Space

Find your next rabbit hole.

Articles, conversations, profiles, and grounded writeups.

281 results · Filters applied

Try a search:context engineering agents retrieval augmented generation


Exa’s Neural PageRank: From Predicting Documents to Finding Every Match Understanding a query is only the start. Exa’s search ambitions depend on retrieving the right documents, clarifying intent and deciding where more computation is worth the cost. Writeup · Date unavailable	Writeup	—	—
Fireworks’ bet on open models and compound AI Fireworks combines model serving, workload-specific optimization, and systems that connect models to tools and data. Its competitive bet is that inference engineering will matter more as open models improve. Writeup · Date unavailable	Writeup	—	—
FlashAttention 2: faster attention starts with moving less data FlashAttention preserves the attention computation while reducing memory traffic. Its development shows why mathematical ideas, hardware constraints and usable software have to advance together. Writeup · Date unavailable	Writeup	—	—
From API Stability to o1’s Reasoning Budget — Part 2 of 3 Part 2 moves from practical API integration to launch-day o1 questions: model stability, retrieval, batch processing, speech, and the cost and visibility of reasoning. Writeup · Date unavailable	Writeup	—	—
From Assistant Demos to Dependable Systems — DevDay, Part 3 of 4 Part 3 of 4 follows builders from budget approvals and browser purchases to codebase search, guardrails, and open models—with usable context and reliable evaluation as recurring tests. Writeup · Date unavailable	Writeup	—	—
From Borrowed GPUs to Lexica: Making AI Capabilities Useful GPU marketplaces, image search, model training, and browser agents in Latent Space’s May 2023 conversation with Sharif Shameem. Writeup · Date unavailable	Writeup	—	—
From Browsers to Agents: Unlocking the Computer’s Existing Capabilities AI’s accumulated breakthroughs, the Unix architecture behind personal agents, and the institutional work between technical capability and widespread adoption. Writeup · Date unavailable	Writeup	—	—
From Coding Agents to Inference Economics — Part 2 of 3 Part 2 follows the work of making AI useful: turning intent into tests, choosing long context or retrieval, and separating fast responses from sustainable inference. Writeup · Date unavailable	Writeup	—	—
From Computer Use to Agents in Production — 2024 Year in Review, Part 3 of 3 The final part of Latent Space’s 2024 review examines what keeps agents from everyday use, revisits the year’s lasting technical lessons, and sets out the production test facing 2025. Writeup · Date unavailable	Writeup	—	—
From Denoising Images to Inferring 3D Worlds — Part 3 of 6 Part 3 of this ICML 2024 reading edition explains diffusion’s training and sampling mechanics, follows DreamFusion through CAT3D, and introduces Ricky TQ Chen’s transport-based account of flow matching. Writeup · Date unavailable	Writeup	—	—
From Easy GPU Access to Disaggregated Inference — Part 1 of 3 Part 1 follows Brev’s approach to GPU access, NVIDIA’s “speed of light” planning, and Dynamo’s controls for serving models across machines. Writeup · Date unavailable	Writeup	—	—
From enterprise search to the quote desk What Glean, Windsurf, and Roadrunner reveal about building enterprise AI: permissions, customer trust, sales leadership, and the commercial rules behind every quote. Writeup · Date unavailable	Writeup	—	—