Mid-career life crisis? Learn AI in very simple language from a Google Developer Expert in AI
Mid-career life crisis? Learn AI in very simple language from a Google Developer Expert in AI
Reading Time: 3 minutesNamaste and Welcome to Build It Yourself. Large Language Models (LLMs) are powerful, but they all suffer from one big limitation:they cannot answer questions about events that happened after their training data cutoff. Even the newest models…
Reading Time: 3 minutesAI has evolved so much in the last couple of years and so has its developer ecosystem. LLM or AI model is one thing but to make AI/LLM-based products or applications, developers need multiple frameworks, platforms and…
Reading Time: < 1 minuteEmployees are feeding sensitive data into Copilots and AI tools at massive scale. Most of it happens through unmanaged personal accounts, invisible copy/paste flows, and non-federated logins. Traditional DLP tools don’t even see it. A new…
Reading Time: < 1 minuteThe Problem Most language models accidentally memorise private data – even if it appears only once. A phone number buried in a blog post, a home address mentioned in a forum, a unique email ID in…
Reading Time: < 1 minuteBuilding an AI product ≠ Using AI in a product. One means AI is the heart of the solution. The other just adds AI to something that already works. You can know everything about models, prompts,…
Reading Time: < 1 minuteNot many companies reveal the environmental impact of their AI models But French AI startup Mistral has disclosed the full environmental footprint of its flagship model, Mistral Large 2 (123B parameters). – Training the model emitted…
Reading Time: < 1 minuteFor years, AI model creators treated the internet like an open buffet – a limitless source of data to train their models. But now, that buffet is closing. Publishers are blocking AI crawlers and demanding payment…
Reading Time: 4 minutesNamaste and Welcome to Build It Yourself. In the tutorial, we will build an LLM Agent using LangChain to connect ChatGPT with Google Search to get answers on recent happenings as well. We will be using OpenAI’s…
Reading Time: 5 minutesDisclaimer: No jargon is used or harmed in writing this tutorial. This is a “no-jargon” attempt to explain AI Agents. In case you find any jargon, please report it to me, and I’ll take corrective measures 🙂…
Reading Time: 4 minutesDisclaimer: No jargon is used or harmed in writing this tutorial. This is a “no-jargon” attempt to explain the basics of machine learning. In case you find any jargon, please report it to me, and I’ll take…