Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces by Volodymyr Pavlyshyn is the featured bundle on Leanpub!

How to make agents adopted to enterprice grade tasks

Link: https://leanpub.com/b/beyondcontextgraphs-agenticai

#Ai #DeepLearning #DataScience #SoftwareArchitecture #Databases #DataStructures #SoftwareEngineering

Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces

After A LOT of studying BLAS internals, my PR to the gemm crate is finally open: it introduces mixed-precision BF16 matmuls (optimal for use cases like small models doing autoregressive decoding on CPU)

https://github.com/sarah-quinones/gemm/pull/40

#programming #rust #ai #inference #deeplearning #qwen #asr #opensource #rustlang

Add BF16 GEMM support (mixed precision) by gicrisf · Pull Request #40 · sarah-quinones/gemm

Summary This PR adds support for BF16 (bfloat16) matrix multiplication. The implementation stores inputs/outputs as BF16 but performs computation in F32, converting during the packing phase. This a...

GitHub
AI Masterclass

About the Track: AI Masterclass Artificial Intelligence is reshaping the way we live, work, and build technology. The AI Masterclass Track brings together three powerful courses from world-class experts to give you a comprehensive, practical, and hands-on education in the age of AI. Whether you want to understand the big picture, apply AI patterns in real-world software, or dive deep into the mathematics and code behind large language models, this Track has you covered. Why take this Track? Together, these three courses form a complete journey through today’s AI landscape—from understanding generative AI at a strategic and practical level, to applying proven patterns in software development, to mastering the technical foundations of LLMs. You’ll gain not only knowledge but also exercises, quizzes, and code examples that ensure you can confidently apply what you’ve learned in your work. Don’t fall behind or just keep up with AI—master it. Courses Included Generative AI in a Nutshell - Henrik Kniberg A fast-paced, visual, and practical guide to the strange new world of Generative AI. With Henrik’s signature hand-drawn illustrations and down-to-earth explanations, you’ll explore what generative AI is, how it works, how to use it, and how to lead through this transformation—without drowning in jargon or hype. Patterns of Application Development Using AI - Obie Fernandez Learn pragmatic patterns and principles for integrating AI into real-world applications. Drawing from his experience building an AI-powered platform, Obie introduces practical design patterns like “Multitude of Workers” and “Self-Healing Data,” helping you unlock the power of AI in adaptive, user-centric systems. The Hundred-Page Language Models Course - Andriy Burkov A concise yet thorough guide to modern Large Language Models, blending math, illustrations, and hands-on coding. You’ll build your own models from scratch in Python, understand transformers, and explore instruction fine-tuning—all while benefiting from Andriy’s clear explanations and exclusive video content.

If you're trying to make sense of the open weight LLM landscape, Sebastian Raschka's Architecture Gallery is one of the most useful pages I've bookmarked. Side by side fact sheets for everything from GPT-2 to Kimi K2, Qwen3, Nemotron, and beyond.

Covers open weight models only.

https://sebastianraschka.com/llm-architecture-gallery/

#LLM #MachineLearning #OpenSource #OpenWeights #AI #DeepLearning #Transformers

LLM Architecture Gallery

A gallery that collects architecture figures from The Big LLM Architecture Comparison and related articles, with fact sheets and links back to the original sections.

Sebastian Raschka, PhD

The inventor of deep learning just delivered a reality check: 99% of people use AI like a toy.

Yann LeCun (Turing Award winner) has a point. Most folks are still asking ChatGPT to write silly poems instead of using it to genuinely improve their work, learning, or problem-solving.

Time to graduate from AI playground to AI productivity.

https://x.com/heynavtoor/status/2037543526746198083

#ArtificialIntelligence #ProductivityTools #DeepLearning

A deep learning model trained on 917 Sue ware pieces doesn’t just classify pottery, it maps the fuzzy morphological boundary where dish-type and bowl-type vessels blurred during Japan’s shift to chopstick-based dining. #Archaeology #JapaneseArchaeology #DeepLearning https://www.anthropology.net/p/a-machine-learns-to-read-bowls-deep
A Machine Learns to Read Bowls: Deep Learning and the Shape of Japanese Eating Habits

A new approach to classifying ancient Sue ware pottery reveals not just what the model sees, but what the ambiguity itself might mean

Anthropology.net

Mastering Modern Time Series Forecasting: A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python (Preorder) by Valery Manokhin is the featured book on Leanpub!

Link: https://leanpub.com/mastering_modern_time_series_forecasting

#ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education #Engineering #NonFictionEcoonomics #NeuralNetworks

Mastering Modern Time Series Forecasting

Mastering Modern Time Series Forecasting – the all‑in‑one, hands‑on guide (early access) that arms you with intuitive code, real-world case studies, and the latest methods—from ARIMA to transformers and FTSMs—for building production‑ready forecasting systems in Python.

PyTorch often replaces NumPy, keeping autograd graphs for models.

#pytorch #numpy #deeplearning

How AI Changes Canon's Approach to Camera Tech and Performance

Canon is very focused on the software side of camera performance.

PetaPixel