Tag: LLM
All the articles with the tag "LLM".
Levels of Agentic Systems: Rethinking How We Define AI Agents
Published:Everyone argues on the definition of an AI agent because it's hard to define *exactly* what an AI agent is. Here I share my go-to definition.
50+ Open-Source Options for Running LLMs Locally
Updated:There are many open-source tools for hosting open weights LLMs locally for inference, from the command line (CLI) tools to full GUI desktop applications. Here, I’ll outline some popular options and provide my own recommendations. I have split this post into the following sections
100+ Open-Source AI Agent Frameworks and Tools
Published:A comprehensive comparison table of open-source AI Agents frameworks.
What Are Embeddings and Why They’re Incredibly Useful
Published:If you’ve heard of the term "embeddings” before but don’t quite understand it, this post is for you.
How AI Assistants Learn: The Training Process of Large Language Models
Published:Understanding the training process of AI assistants reveals how they evolve from simple language models to sophisticated, useful tools. Here's a breakdown of the stages involved.
Prompting Tips for Better LLM Outputs
Published:Large Language Models (LLMs) are complex probabilistic machines that predict the next word. Prompt engineering is about conditioning them for desired outputs. Each instruction steers the model's generation. Here are tips to prompting LLMs to generate useful outputs to your problems.
How I Stay Up-To-Date On The Latest AI Advancements Without Feeling Overwhelmed
Published:Keeping up with the latest breakthroughs and industry trends can feel like an endless pursuit, leading to information overload. With so much information available, it’s easy to feel overwhelmed. Here’s how I stay updated without getting bogged down.
Why I Use Open Weights LLMs Locally
Published:As someone who regularly uses Large Language Models (LLMs) for personal use and builds apps with LLMs - the choice between self-hosted open weights LLMs and proprietary LLMs is a recurring theme. Here, I share my personal insights as to why I use locally hosted LLMs.
Future of Compute from Jensen Huang, NVIDIA CEO
Published:Here are my highlights from Jensen Huang's keynote, NVIDIA CEO, hosted by ATxInspire Singapore.
H2O Singapore GenAI Day
Published:Here are my highlights from H2O.ai's Singapore GenAI Day, a fantastic event showcasing their latest contributions to GenAI.
Unpacking OpenAI’s Dev Day: A Leap Forward in AI Development
Published:Here are my thoughts on OpenAI's recent Dev Day announcements.
🎉 One Month in Singapore's AI Scene 🤖
Published:Here’s an overview of what I’ve been up to and my main takeaways from 24 hours of meetups and conferences on Generative AI, Machine Learning for finance, and Data Engineering.