Tabular data is still where many important models run in production. Finance, healthcare, energy and industry teams work with tables of rows and columns, not images or long text. Prior Labs now ...
How do you build reliable AI agents that plug into your existing Go services without bolting on a separate language stack? Google has just released Agent Development Kit for Go. Go developers can now ...
Existing data science agents often rely on Text to SQL over relational databases. This constraint limits them to structured tables and simple schema, which does not match many enterprise environments ...
Cache-to-Cache(C2C): Direct Semantic Communication Between Large Language Models via KV-Cache Fusion
Can large language models collaborate without sending a single token of text? a team of researchers from Tsinghua University, Infinigence AI, The Chinese University of Hong Kong, Shanghai AI ...
Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs in one pass, preserve layout, detect tables, extract key ...
How do you design a single model that can listen, see, read and respond in real time across text, image, video and audio without losing the efficiency? Meituan’s LongCat team has released LongCat ...
How do you build a language model that grows in capacity but keeps the computation for each token almost unchanged? The Inclusion AI team from... Anthropic recently released a guide on effective ...
Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.
Canary-1b-v2: Multilingual ASR + Translation (En ↔ 24 Languages) Canary-1b-v2 is a billion-parameter Encoder-Decoder model trained on Granary, delivering high-quality transcription and translation ...
Model Context Protocol (MCP) servers have fast become a backbone for scalable, secure, and agentic application integrations, especially as organizations seek to expose their services to AI-driven ...
At the heart of CUDA-L1 lies a major leap in AI learning strategy: Contrastive Reinforcement Learning (Contrastive-RL). Unlike traditional RL, where an AI simply generates solutions, receives ...
This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...
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