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Two deepseek models invent a cryptic language only they can understand 👀 source: WesRothMoney on 𝕩

So 🇮🇳's IT minister said, "We will soon host DeepSeek on Indian servers. It is an open-source model like LLama. Data privacy issues regarding DeepSeek can be addressed by hosting open source models on Indian servers," says Ashwini Vaishnaw. it has

🚀 Breaking News: Meta Unleashes Its Biggest Open-Source AI Model Yet – Llama 3.1 with 405 Billion Parameters!Meta has taken a giant leap forward in AI development by releasing Llama 3.1, their most powerful open-source AI model to date, boasting an

In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

DeepSeek has quietly dropped V3.1, a 685B-parameter open-source LLM on Hugging Face—128K token context, hybrid reasoning/chat/coding, multi-precision support. Early benchmarks: 71.6 % Aider coding, on par with proprietary models & 68× cheaper.

Meta's Llama 3 model scales open language models, boasting improved performance and various sizes. With a focus on addressing fatigue, it utilizes diverse training methods and achieves impressive results, strengthening the open LLM ecosystem

🚀 Running Deepseek R1 1.5B on Ollama – AI at My Fingertips! 🤖🔥 Just set up and tested the Deepseek R1 1.5B model using Ollama, and I’m impressed with how seamless the experience is! This model is an efficient and capable LLM, and running it local

Meta has introduced the Llama 3.1 series of large language models (LLMs), featuring a top-tier model with 405 billion parameters, as well as smaller variants with 70 billion and 8 billion parameters. Meta claims that Llama 3.1 matches the performance

Xiaomi has introduced MiMo, its first open-source large language model, developed by the newly formed Big Model Core Team. With 7 billion parameters, MiMo excels in mathematical reasoning and code generation, matching the performance of significantly

💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e