Towards AI's next Cohort kicks off July 6! Learn to build & run LLMs in 10 hours—then apply it across every Towards AI course and your real products.
@whats_ai
-
LLMs Applied to Investigation Training at Europol
By
–
Last week, I had the privilege of spending three intense days in Paris giving our training to Europol’s Ops-Tech LLM core group: an “LLMs Applied to Investigation” boot camp. Here’s what we squeezed into 15 hours (+ many more in 1:1 discussions): – Foundational knowledge – why
-
LLMs Beyond Hype: Profit Tools for Software Efficiency
By
–
Here are 10 key points to remember from our free AI 2-hour video training if you missed it : 1. LLMs: Beyond the Hype. More than buzzwords, Large Language Models (LLMs) are concrete tools for generating profit, saving money, and boosting efficiency—especially in software
-
Free LLM 101 Course: Essential AI Foundation for Coders
By
–
Excited to release the first video lesson of our new course FOR FREE: LLM 101: The LLM/AI Foundation Every Coder Needs to Know! TL;DR: A 2-hour session covering the "foundational theory" (the thing we believe you need to know, not the math or how parallelization is engineered)
-
Reasoning Models Revolution: New Scaling Laws Transform LLM Capabilities
By
–
"How many R’s are in strawberry?"
A year ago, ChatGPT would have guessed—or hallucinated. Today, it thinks. I just released a new video diving into the "revolution" of reasoning models and the new axis of scaling laws that's transforming how large language models operate. -
LLM Weaknesses: Making Large Language Models Practical
By
–
LLMs are not plug-and-play geniuses; they often need extra work to be practical in real-world applications. That's what this week's iteration is about: https://
open.substack.com/pub/louisbouch
ard/p/llm-weaknesses-101-what-they-really?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
… -
LLM Weaknesses: Safe Integration and Mitigation Techniques
By
–
These weaknesses are crucial to understand so you can know where you can build with and use LLM tools safely and appropriately in your workflows and what techniques you can use to address these issues.
-
How LLMs Learn Differently: Strengths and Weaknesses
By
–
LLMs don’t learn like humans. These models have unique strengths and weaknesses that make them powerful building blocks in some areas and unreliable in others.
-
RAG versus CAG: Deep Dive into AI Retrieval Techniques
By
–
Super happy to be the first to guest post with @moteropedrido and his amazing Neural Maze newsletter! Also super happy to jump in and share our insights from Towards AI. In this piece, along with Miguel, we investigated RAG vs. CAG once and for all! I’ll spoil you some cool
-
10-Hour LLMs Masterclass: Essential Guide Before Starting
By
–
All the essentials, zero fluff—your compass before the expedition begins (and the first 4 hours are free). https://
open.substack.com/pub/louisbouch
ard/p/a-10-hour-llms-masterclassyour-end?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
…