THOUGHT LEADERSHIP At Tecton, we help ML teams deal with the data challenges of production machine learning. Specifically, we’ve seen a lot of teams struggle with deploying the infrastructure and managing the data pipelines to produce and serve up-to-date and... View article
Visual Studio Code is a remarkable application. In the past, developers faced a choice between simple, lightweight text editors like Vim, Atom, and Emacs or powerful yet complex IDEs such as PyCharm and Eclipse. I can recall a time when running my IDE (Netbeans), my... View article
If you have checked the Internet in 2023, you’re likely familiar with Generative AI. The launch of ChatGPT has sparked a surge in interest, investment, and innovative projects focused on Large Language Models (LLMs), Artificial General Intelligence (AGI), and Retrieval Augmented Generation (RAG). Yet, navigating this burgeoning field can be challenging: What tangible benefits... View article
Model Maxims & Data DogmasThis article was originally published on Leonard’s Substack. In the same vein as Rob Pike’s Go Proverbs, engineers relish a good aphorism. I’ve tried to consolidate these frequent murmurs of the ML/AI community into somewhat tangible anchors:... View article
LangChain is a robust framework for building LLM applications. However, with that power comes quite a bit of complexity. LangChain provides many ways to prompt an LLM and essential features like conversational memory. Conversational memory offers context for the LLM... View article
At the end of June, I flew out to San Francisco to do three things: I want to break down LLM Avalanche. Aside from being basically a mini-conference that we called a meetup, there were incredible learnings. It would be... View article
Dear boss, You may have noticed that I have been performing on an elevated level since [date you joined the community]. Some in the organization have even gone as far as to say I am carrying the team. We don't need to get into specifics. That's not what this correspondence is about.... View article
As model complexity increases exponentially, so too does the need for effective MLOps practices. This post acts as a transparent write-up of all the MLOps frustrations I’ve experienced in the last few days. By sharing my challenges and insights, I... View article
The following is an extract from Andrew McMahon’s book, Machine Learning Engineering withPython, Second Edition. Available on Amazon at https://packt.link/w3JKL. Given the rise in interest in LLMs recently, there has been no shortage of people expressing the desire to integrate... View article
Programmers have always been passionate about their preferences, whether they discuss spaces vs. tabs, Vim vs. Emacs, or light mode vs. dark mode. These debates have withstood the test of time, indicating that there is a place for each solution, and no definitive... View article