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Essential Chunking Techniques for Building Better LLM Applications
Every large language model (LLM) application that retrieves information faces a simple problem: how do you break down a 50-page document into pieces that a model can actually use? So when you’re building a retrieval-augmented generation (RAG) app, before your vector database retrieves anything and your LLM generates responses, your documents need to be …
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How does AI work?
TL;DR: Artificial Intelligence learns patterns from data and uses them to make predictions, generate content, or solve problems. Generative AI, such as ChatGPT or image and video generators, takes this a step further by creating new things, text, art, music, and more, that have never existed before. People often ask: “How does AI actually work?” …
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
Text Normalization (TN) is a key preprocessing step in Text-to-Speech (TTS) systems, converting written forms into their canonical spoken equivalents. Traditional TN systems can exhibit high accuracy, but involve substantial engineering effort, are difficult to scale, and pose challenges to language coverage, particularly in low-resource settings. We propose PolyNorm, a prompt-based approach to TN using …
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Transform your MCP architecture: Unite MCP servers through AgentCore Gateway
As AI agents are adopted at scale, developer teams can create dozens to hundreds of specialized Model Context Protocol (MCP) servers, tailored for specific agent use case and domain, organization functions or teams. Organizations also need to integrate their own existing MCP servers or open source MCP servers for their AI workflows. There is a …
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From silicon to softmax: Inside the Ironwood AI stack
As machine learning models continue to scale, a specialized, co-designed hardware and software stack is no longer optional, it’s critical. Ironwood, our latest generation Tensor Processing Unit (TPU), is the cutting-edge hardware behind advanced models like Gemini and Nano Banana, from massive-scale training to high-throughput, low-latency inference. This blog details the core components of Google’s …
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Moonshot’s Kimi K2 Thinking emerges as leading open source AI, outperforming GPT-5, Claude Sonnet 4.5 on key benchmarks
Even as concern and skepticism grows over U.S. AI startup OpenAI’s buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even caught up to OpenAI’s flagship, paid proprietary model GPT-5 in key third-party performance benchmarks with a new, free model. The Chinese AI startup Moonshot AI’s …
Tesla Shareholders Approve Elon Musk’s $1 Trillion Pay Package
The unprecedented payday will go into full effect by 2035—as long as Tesla hits ambitious financial and production targets.
Fake or the real thing? How AI can make it harder to trust the pictures we see
A new study has revealed that artificial intelligence can now generate images of real people that are virtually impossible to tell apart from genuine photographs.
I won “Best Cinematography Award” for this AI Short film!!
I’m still working on subtitles. India’s 1st AI Film Fest — 1st Edition by localhost AI AWARDS WINNING FILM BEST CINEMATOGRAPHY AWARD CINEMATOGRAPHY • FILMMAKING • HORROR FOLKLORE Written • Directed • Produced • Edited in 1 Week Film Submitted Incomplete — Still Won the Award submitted by /u/aum3studios [link] [comments]