Valeriia Kuka

What is Mamba?

Jamba, Falcon-H1 and Nemotron-H keep attention alongside Mamba layers. What selective SSMs do well, and where exact recall breaks

Open-Source and Source-Available RAG Tools: 10 Frameworks for 2026

LangChain, LlamaIndex, Haystack 3.0, RAGFlow, LightRAG and Ragas compared by license, graph retrieval, and 2026 maintenance status.

Chinese LLMs in 2026: DeepSeek, Qwen3.8, Kimi K3 and More

DeepSeek V4, Qwen3.8, Kimi K3, GLM-5.3 and ERNIE 5.1: parameters, context windows, licenses and what each Chinese LLM is actually best at in 2026.

9 Synthetic Data Platforms for AI Training in 2026

Nine active synthetic-data platforms compared across tabular data, computer vision, and LLM training, with current ownership, use cases, and access options.

LLM Benchmarks in 2026: Complete Guide with Papers

A practical 2026 guide to LLM benchmarks for reasoning, coding, math, factuality, multimodal understanding, and agents—with papers and limitations.

Open-Source LLM Monitoring Tools: Top 13 in 2026

13 open-source tools for LLM monitoring, agent observability, evaluation, and bias detection—with licenses, replay capabilities, and best-fit guidance.

Token 1.11: What Is Low-Rank Adaptation (LoRA)? A Guide to LLM Fine-Tuning

LoRA fine-tunes LLMs by training small low-rank matrices while the base weights stay frozen. How it works, how to choose rank r, and when LoRA is not enough.

xAI: The game of catching up

xAI built Grok and Colossus before SpaceX acquired it in 2026. Here is the updated xAI story, including SpaceXAI, funding, compute, and products.

How to Leverage Open-Source LLMs in Your Project

Expert advice on fine-tuning, deploying, and optimizing open-source LLMs — from Hugging Face, Microsoft, and UC Berkeley researchers. Updated for 2026

Token 1.22: Data Privacy in LLM systems

LLM data privacy risks explained: training data leakage, anonymization techniques, differential privacy, federated learning, and GDPR requirements.

Token 1.9: Open-Source vs Closed-Source AI Models: Which is the Better Choice for Your Business?

Open-source vs closed-source LLMs: key differences in cost, customization, data privacy, and compliance. Deep dive with practical tips for your business.

Z.ai, Formerly Zhipu AI: The Rise of an AI Tiger Reaching for AGI

Zhipu AI, now Z.ai, is a Tsinghua-born Chinese AI company behind the GLM models. Founders, CEO Zhang Peng, US sanctions, Hong Kong IPO, and GLM-5.2 explained.

Scale AI Company: What It Does, Why Meta Invested $14B, and How Alexandr Wang Built an AI Data Empire

Scale AI builds the data layer behind AI models. Learn how it grew from a YC startup to a $29B company with Pentagon contracts and Meta's $14.3B stake.

Token 1.7: What Are Chain-of-Verification, Chain of Density, and Self-Refine?

Three LLM prompting techniques: Chain-of-Verification reduces hallucinations, Chain of Density compresses summaries, Self-Refine iterates on outputs.

What Is JEPA? LeCun Architecture & World Models

Joint Embedding Predictive Architecture predicts abstract representations, not pixels or tokens. Covers I-JEPA, V-JEPA, VL-JEPA, LeJEPA and robotics.

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.

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

How Cerebras built wafer-scale AI systems, expanded cloud inference, and became a public company trading on Nasdaq under CBRS.

10 Free Books to Master Machine Learning for Every Level

Ten free machine learning books: Pattern Recognition by Bishop, Deep Learning by Goodfellow, Sutton and Barto on RL, Think Bayes, Machine Learning Yearning.