Valeriia Kuka

Best Open-Source Vector Databases for LLMs in 2026

The best open-source vector databases for RAG and LLM apps in 2026: Milvus, Qdrant, Weaviate, Chroma, Faiss, pgvector, and more, compared by use case.

The Story of AI Winters and What it Teaches Us Today (History of LLMs. Bonus)

In the long run, AI was possible and promising, but its wave had yet to rise

CoreWeave: The Underdog Powering Generative AI's Explosion

How their niche focus, tech stack, and partnerships disrupt the market

10 Best AI Ethics Books to Read in 2026

Top AI ethics books by Kate Crawford, Mark Coeckelbergh & Margaret Boden. Covers AI philosophy, data colonialism, design justice & algorithmic power.

What is LongRAG framework?

LongRAG uses 4K-token retrieval units instead of 100-word chunks, reducing corpus size 30×. How LongRAG architecture works and how it compares to standard RAG.

xAI: The game of catching up

How Elon Musk built xAI from a wounded ego and Twitter's data into a leading generative AI lab. A deep-dive into Grok, xAI's strategy, and the X-universe playbook.

What is KAN?

KAN (Kolmogorov-Arnold Networks) replaces fixed activation functions with learnable splines. How KAN works, how it compares to MLP, and where it falls short.

20+ Large Language Models (LLMs) for Finance

25+ Medical Large Language Models (LLMs)

A curated list of 25+ medical LLMs — BioBERT, Med-PaLM, MEDITRON, BioMistral and more. Grouped by architecture, with links to papers and code.

Cerebras: an Engineering Marvel to Rival NVIDIA

or bigness for bigness’s sake?

What Is JEPA? Joint Embedding Predictive Architecture

JEPA explained: Yann LeCun's Joint Embedding Predictive Architecture for world modeling. Covers I-JEPA, V-JEPA, MC-JEPA, architecture & key concepts.

10 Free Books to Master Machine Learning for Every Level

Explore foundational concepts, advanced techniques, and practical guides

What is Graph RAG approach?

RAG fails on global questions. Graph RAG fixes that by organizing data as a knowledge graph — here's how it works and what it's good at.

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

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

What is Mamba?

Mamba is a selective SSM that processes sequences in linear time — no attention needed. How it works, how it compares to Transformers, and why it matters.

A List of Time Series Foundation Models

A curated list of time series foundation models — TimeGPT, TimesFM, Moirai, Chronos, Lag-Llama and more — with papers, GitHub links, and key benchmarks

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

Moonshot AI is a Chinese AI unicorn behind Kimi Chat, valued at $2.5B. Learn who founded it, how long-context works, and why it matters.

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(Z.ai): The Rise of an AI Tiger Reaching for AGI

How Zhipu AI grew from a Tsinghua University project to a $3B generative AI unicorn — the story behind GLM, ChatGLM, and China's path to AGI.

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