Most up-to-date AI & Gen AI coaching for senior IT professionals
Reading Time: 2 minutesNot another copy-paste Generative AI course for senior IT professionals A bunch of folks from IITs and professionals from Meta and Microsoft have reimagined AI education and designed a Generative AI course for senior IT professionals. The…
Reading Time: 3 minutesBy 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 created…
Reading Time: 3 minutesCommon 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 iterable…
Reading Time: 6 minutesLLM 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 sets…
Reading Time: 2 minutesNamaste 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 (sometimes…
Reading Time: 5 minutesGone 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 this…
Reading Time: < 1 minuteNamaste 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 identify…
Reading Time: 8 minutesLangchain is an open-source development framework for building LLM applications. As we know, LLM-based applications are built on top of an LLM. However, we need many more things to build LLM applications besides the LLM itself. Once…
Reading Time: 4 minutesOnce we have created our LLM application (like a YouTube video summariser or Multi-lingual text summariser or anything else), we can deploy it on Hyperscalers like AWS Sagemaker, Google Cloud Platform, Azure Cloud, etc. However, nowadays there…
Reading Time: 6 minutesWe all have used ChatGPT. Some of you may also have used other Large Language Models (LLMs) as well. So, we know that LLMs work in isolation, which means, they do not interact with other software. They…
