A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.
At the end of 2023, I was transferred to the team working on PMI Infinity, a (then-nascent) AI-powered tool and product for Project Managers, to act as an AI/ML Engineer and provide expertise on the AI/ML aspects of developing a product based on generative models. Coming from more standard data science and machine learning, my impostor syndrome flared and I felt behind the 8-ball. I’d been cursorily following LLMs, but had thus far been generally unimpressed by ChatGPT (though I did find Phind to be quite good for coding-related questions).
We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.