A Fully Self‑Contained Text Embedding Service in C#
Modern semantic search, retrieval-augmented generation (RAG) pipelines, and large-scale recommendation models heavily rely on embeddings — transformations of natural language text...
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Modern semantic search, retrieval-augmented generation (RAG) pipelines, and large-scale recommendation models heavily rely on embeddings — transformations of natural language text...
The idea that makes language models, recommendation systems, and semantic search actually workContinue reading on Medium »
We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and cre...
How a language model reads a word — and why context changes everythingContinue reading on Medium »
Liquid AI's LFM2.5 Retrievers combine a dense bi-encoder and ColBERT late-interaction model for multilingual search on edge devices. The post Liquid AI Introduces LFM2.5-Embedding-...
The xAI Grok API provides access to powerful frontier models, including the Grok 4 series, supporting chat completions (text + vision), image generation, tool calling (function cal...
I spent a weekend building a Q&A bot for my team's internal docs. It sounded easy: dump PDFs into a vector database, query with embeddings, get answers. Three days later, I had...
Отзывы пользователей — один из самых ценных источников информации о продукте, при этом часто клиенты описывают одну и ту же тему или проблему десятками разных слов. Раньше работать...
Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke m...
OpenAI GPT 5.6 is now in private preview on Snowflake Cortex AI. Get OpenAI’s most capable model on Snowflake’s secure, governed platform.
OpenAI added two Realtime models to its API. GPT-Realtime-2.1-mini is a mini reasoning model for voice, priced like the earlier gpt-realtime-mini. OpenAI also cut p95 latency by at...
An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.
GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock. Deploy them in production applications and agents today, on Bedrock’s high performance inference engine.
The current era of Generative AI seems to primarily focus on chat interfaces and prompts, but the range of applications of large language models , or LLMs for short, is not limited...
Thinking Machines Lab: Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one a...
In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground tr...
Today, Chinese AI startup Z.ai (formerly Zhipu AI) announced the immediate release of GLM-5.2, a 753-billion parameter open-weights large language model (LLM) engineered specifical...
Why Searching 1 Million Arrays of 1536 Numbers Does NOT Melt Your CPUContinue reading on Medium »
Introduction Heavy computation is a well-known problem in various ML algorithms today, especially when generative AI is applied to text, images, and other unstructured data. One of...
Google’s Interactions API is a unified interface for interacting with Gemini models and agents.
Before you gain knowledge: This is my first post on here and I am trying to leave a good first impression, I would be more than happy to get reviews on this and what could be chang...
Today, we are announcing the availability of the Gemma 4 family on Amazon Bedrock. Built by Google DeepMind and released under the Apache 2.0 license, Gemma 4 is a family of open-w...
Z.ai launched GLM-5.2 on June 13, 2026, across every GLM Coding Plan tier. The headline is a usable 1-million-token context window plus High and Max effort levels. It drops into Cl...
As an indie developer building AI products, I kept hitting the same wall: how do I control LLM costs without vendor lock-in? Direct API keys meant zero visibility into per-project...
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