Most up-to-date and relevant AI + LLM courses & coaching
Reading Time: 6 minutes Much research has been going on in RAG for the past couple of years. While it started with a simple semantic search for retrieval, now multiple advanced retrieval techniques have emerged. What is the limitation of…
Reading Time: 3 minutes By now, many of us know how to perform RAG (Retrieval Augmented Generation) on a PDF. The RAG pipeline consists of loading the document first and then dividing the large document into smaller chunks. Embeddings are…
Reading Time: 2 minutes The most up-to-date, practical, relevant, and short AI + LLM Course and Coaching Online coaching on Artificial Intelligence, Generative AI, Large Language Models and AI Agents to build a career in the AI domain or implement…
Reading Time: 3 minutes Common Libraries/ Packages are needed to build AI/ LLM applications that we use but not many are telling their exact use. Tqdm – Instantly make your loops show a smart progress meter – just wrap any…
Reading Time: 2 minutes Jobseekers often get this advice that they should create a separate customized resume for every Job description. The idea is to add those keywords/ skills that are mentioned in the JD. This would increase the chances…
Reading Time: 6 minutes LLM makers are running out of training data. Llama3 was pre-trained on 15 trillion tokens, almost 7 times more than Llama2. To further increase LLM’s capabilities, we need more data but the problem is current training…
Reading Time: 2 minutes Namaste and Welcome to Build It Yourself. DSPy framework is slowly replacing (if not killing) “Prompt Engineering”. The most annoying part of making an LLM application is coming up with a good prompt. It takes hours…
Reading Time: 5 minutes Gone are the days when it used to take months to build ML/ AI applications. Now, you can make an LLM application in hours if not minutes. There are 3000+ LLMs (at the time of writing…
Reading Time: < 1 minute Namaste and Welcome to Build It Yourself. Hallucination is a major challenge when building LLM-based applications. What if we can identify when our LLM application has hallucinated?And not only hallucination, what if we could also…
Reading Time: 2 minutes It has been almost 20 months since ChatGPT emerged and the world got introduced to LLMs. Since then they have grown leaps and bounds. Initially, these models could only process text, but now they have multi-modal…
