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Meta has released Llama 3.1, the first frontier-level open source AI model, with features such as expanded context length to 128K, support for eight languages, and the introduction of Llama 3.1 405B. The model offers flexibility and control, enabli

Want to learn AI the right way in 2025? Don’t just take courses. Don’t just build toy projects. Look at what’s actually being used in the real world. The most practical way to really learn AI today is to follow the models that are shaping the indus

The Next AI Battleground? Open-Source LLMs Are Gaining Fast GPT-4 may still lead the pack — but the real action is now in open-source LLMs, and the gap is closing *faster than anyone expected In just 3 months: - Mistral’s Mixtral matched GPT-3.5 on

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = mem

Hiring AI/ ML Techie. About the Role We are seeking a talented AI/ML Engineer to join our innovative team in building a category-defining relationship technology platform. You will play a pivotal role in designing and implementing our multi-AI archi

Numbers: Goan tourism is set for a big booster June ’24 onwards. As per Goan Govt estimates, the state welcomed ~1.5cr tourists in 2023. That’s an avg of ~41k a day. And come June, this number will go up by almost 6k! Almost 15% jump. .. But how

🚨 Open AI is an Wrapper👀🤯 Hot take, but let’s break it down logically: OpenAI is not a full-stack AI company — it’s a high-level wrapper over Azure and NVIDIA. Here’s why that matters 👇 🔹 1. Infra Backbone = Microsoft Azure Almost 90%+ of Op

Amazon S3 changed everything in the early 2000s when it put storage on top of REST APIs and HTTP. Their main bet was that “eventual consistency” would be good enough for most cases and they were right. Data was spread across availability zones with e

LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance