AI 101

These subjects often turn into buzzwords with little clear explanation. No worries, we will provide straightforward insights into these complex areas in plain English and help you learn how to implement it.

Global AI Affairs"Froth on the Daydream"AI 101The CV HistoryGenAI UnicornsThe History of LLMsCommunity TwistTwitter LibraryAI Infra UnicornsInterviews with InnovatorsAI AgentsFMOps
AI 101AI 101
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Topic 23: What is LLM Inference, it's challenges and solutions for it

Topic 23: What is LLM Inference, it's challenges and solutions for it

Plus a Video Interview with the SwiftKV Authors on Reducing LLM Inference Costs by up to 75%

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 22: What is HtmlRAG, Multimodal RAG and Agentic RAG?

Topic 22: What is HtmlRAG, Multimodal RAG and Agentic RAG?

We explore in details three RAG methods that address limitations of original RAG and meet the upcoming trends of the new year

Alyona Vert.
Alyona Vert.
AI 101AI 101
🎄 Recap: 21 Episodes of AI 101 Guide

🎄 Recap: 21 Episodes of AI 101 Guide

Take some time to learn or refresh the key concepts, techniques, and models that matter most

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 21: What is Natural Language Reinforcement Learning (NLRL)?

Topic 21: What is Natural Language Reinforcement Learning (NLRL)?

Explore how RL can be blended with natural language

Alyona Vert.
Alyona Vert.
AI 101AI 101
Concepts: AI Learning Techniques

Concepts: AI Learning Techniques

few-shot, zero-shot, meta and in-context learning. Dive in!

Ksenia Se
Haziqa Sajid
Ksenia Se, +1
AI 101AI 101
Topic 20: What is Flow Matching?

Topic 20: What is Flow Matching?

Explore the key concepts of Flow Matching, its relation to diffusion models, and how it can enhance the training of generative models

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 19: Inside LLaVA-o1

Topic 19: Inside LLaVA-o1

Let's explore a smarter Vision-Language Model (VLM) that thinks step-by-step

Alyona Vert.
Alyona Vert.
AI 101AI 101
Concepts: Supervised, Semi-Supervised, Self-Supervised, Unsupervised types of Machine Learning

Concepts: Supervised, Semi-Supervised, Self-Supervised, Unsupervised types of Machine Learning

core methodologies behind training machine learning models

Ksenia Se
Haziqa Sajid
Ksenia Se, +1
AI 101AI 101
Topic 18: What is Mixture-of-Depths?

Topic 18: What is Mixture-of-Depths?

Explore how transformers can select different depths of processing and reduce compute needs

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 17: Inside Les Ministraux

Topic 17: Inside Les Ministraux

we trace Mistral's strategic roadmap and and unpack the unique performance of les Ministraux (Ministral)

Alyona Vert.
Alyona Vert.
AI 101AI 101
Concepts: RLHF, RLAIF, RLEF, RLCF

Concepts: RLHF, RLAIF, RLEF, RLCF

4 RL+F approaches that guide a model with targeted feedback

Ksenia Se
Haziqa Sajid
Ksenia Se, +1
AI 101AI 101
Topic 16: What is Whiteboard-of-Thought?

Topic 16: What is Whiteboard-of-Thought?

Explore how MLLMs can visually "think" step-by-step

Alyona Vert.
Alyona Vert.