Series: AI Learnings
Artificial Intelligence is now a daily conversation topic and is in everyone’s mind one way or another. The learning can be simple or steep and complex depending on where you want to take it.
Here is a list of blog posts that I have written on this topic as I learn and try to keep up with this amazing technology landscape which is changing every day. Simply amazing.
Quick Links: Resources for Learning AI | Keep up with AI | List of AI Tools | Local AI | AI Agents | Future of Work
Related Blog Posts on AI
What is LLM Quantization?
LLM quantization is the process of reducing the precision of numbers used to represent a model’s weights, typically converting from 32-bit floating point (FP32) to smaller formats like 8-bit integers (INT8) or 4-bit integers (INT4). Think of it like compressing a high-resolution image to a smaller file size while trying to maintain as much quality…
LLM Best Explanation – By Ryan Goslyn (kind of)
This one is a fun one! Who would have ever though Ryan Gosling could explain LLMs! Well – with an deep-fake technology an ElevenLabs and SyncLabs — There are many impressive things here (including deep-fake Ryan’s long, long arm) 🙂 the comments are also very funny If you go past the deep-fake aspects of this…
ChatGPT is not an LLM
This is something that I have heard many times over the last few months that needs a bit of explanation… ChatGPT (Chat Generative Pre-Trained Transformer) is an application of a Large Language Model (LLM). It is an AI-powered application that enables human-like conversations and other text-based tasks. ChatGPT and other bots like it (see below)…
Microsoft AutoGen – AI Multi-Agent Framework
Using AI Agents in a sequential matter, prompt after prompt, reading and correcting based on result can be repetitive and tiresome. AutoGen can help!
The difference between LLM and a Foundational Model
A Large Language Model (LLM) and a Foundational model are related but distinct concepts in the field of natural language processing. The main difference lies in their specialization and use cases. A foundational model is a general-purpose language model, while an LLM is a language model fine-tuned for specific conversational applications. The LLC builds upon…
ChatGPT vs. LLMs: Unveiling the Differences
Written by Microsoft Copilot 1. Transformer Architecture Both ChatGPT and LLMs share a common foundation: the transformer architecture. This powerful neural network structure has revolutionized natural language processing tasks. Its attention mechanisms allow for context-aware understanding, making it ideal for language modeling12. 2. Emergent Properties As LLMs grow in size (often surpassing 50 to 100…