Topic 7: What is LongRAG framework?

we discuss the limitations of RAG with a long-context window and explore the intuition behind the LongRAG framework to address these limitations, along with a list of resources for further learning

xAI: The game of catching up

Understanding Musk's X-Universe

Topic 6: What is KAN?

we discuss how Kolmogorov-Arnold Networks (KANs) are redefining neural network architectures and their advantages over traditional multilayer perceptrons

20+ Large Language Models (LLMs) for Finance

25+ Medical Large Language Models (LLMs)

Cerebras: an Engineering Marvel to Rival NVIDIA

or bigness for bigness’s sake?

Topic 4: What is JEPA?

we discuss the Joint Embedding Predictive Architecture (JEPA), how it differs from transformers and provide you with list of models based on JEPA

10 Free Books to Master Machine Learning for Every Level

Explore foundational concepts, advanced techniques, and practical guides

Topic 3: What is Graph RAG approach?

we discuss the limitations of RAG and explore the benefits of Graph RAG approach, as well as clarify terms and provide a list of resources

Multimodal Foundation Models: 2024's Surveys to Understand the Future of AI

Gain insights into model architectures, training strategies, and real-world applications

Topic 2: What is Mamba?

We discuss sequence modeling, the drawbacks of transformers, and what Mamba brings into play

A List of Time Series Foundation Models

The latest developments: TimesFM, Moirai, Chronos and more

Topic 1: What is Mixture-of-Experts (MoE)?

we discuss the origins of MoE, why is it better than one neural network, Sparsely-Gated MoE, and sudden hype. Enjoy the collection of helpful links

The Mysterious AI Reading List: Ilya Sutskever's Recommendations

A List Everyone Talks About, But No One Has Ever Seen

Get Started with RAG: A Comprehensive Guide with Webinars & Workshops

Master Retrieval-Augmented Generation (RAG) for Your AI Projects

Moonshot AI: The Chinese Unicorn Revolutionizing Long-Context AI

How to Reach a $2.5 Billion Valuation in 1 Year, the Tech Behind the Models, AGI Layers, and Plans to Surpass Global Competitors

The Ultimate Guide to LLM Benchmarks: Evaluating Language Model Capabilities

Assess Commonsense Reasoning, Coding Skills, Math Aptitude and More with These Essential Benchmarking Tools

Zhipu AI: The Rise of an AI Tiger Reaching for AGI

The only overview of Zhipu AI's technology, open-source efforts, partnerships, and future goals in English

Snowflake's Mission: Demolishing Data Limitations in the Era of Enterprise AI

Unveiling the Tech Specs, Leadership Changes, Trends and Future Prospects

Computer Vision in the 1980s: The Quiet Decade of Key Advancements

From merely describing the physiological properties of visual cells to translating visual processing into algorythms

Key Insights from Harrison Chase's Talk on Building Next-Level AI Agents

Exploring Strategic Planning, UX Innovations, and Memory Functions in AI Development

The Dawn of Computer Vision: From Concept to Early Models (1950-70s)

What is common between a cat and a first computer vision model?

The History of Computer Vision on the Path to AGI

After the highly sought-after history of LLMs, we continue digging into machine learning annals and what is important to learn from them to thrive nowadays

10+ Tools for Hallucination Detection and Evaluation in Large Language Models

How to use Chain-of-Thoughts Methods in Your Project?

Implement techniques to boost LLM performance in reasoning tasks