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Packt Publishing has best-selling AI/ML books.

"Find more best-selling AI/ML books by @PacktPublishing @PacktDataML here:"

The book 'Distributed AI Systems' is a practical guide for building scalable training, inference, and serving systems for production AI.

"Distributed AI Systems — A practical guide to building scalable training, inference, and serving systems for production AI"

The FPGA Programming Handbook provides a comprehensive guide to FPGA programming, covering architectures, programming languages, combinational logic, calculator design, resource usage, parallelism, AXI, DDR2, VGA display, PMOD connectors, and embedded microcontrollers.

"The FPGA Programming Handbook: https://t.co/HNPFmI6X2q 𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁𝘀: 🔴Introduction to FPGA Architectures 🔴FPGA Programming Languages and Tools 🔴Combinational Logic 🔴Counting Button Presses 🔴Let's Build a Calculator 🔴FPGA Resources and How to Use Them 🔴Math, Parallelism, and Pipelined Design 🔴Introduction to AXI 🔴Lots of data? MIG and DDR2 🔴A Better Way to Display – VGA 🔴Bringing It All Together 🔴Using the PMOD Connectors – SPI and UART 🔴Embedded Microcontrollers Using the Xilinx MicroBlaze 🔴Advanced Topics"

Google Cloud Platform offers significant scalability, but managing costs effectively is critical to realizing its value.

"Google Cloud Platform offers significant scalability, but managing costs effectively is critical to realizing its value."

The Cloud FinOps Playbook for Google Cloud is a practical guide to managing cloud spend and driving financial accountability on GCP.

"The Cloud FinOps Playbook for Google Cloud is a practical guide to managing cloud spend and driving financial accountability on GCP."

The book covers the dual role of AI in FinOps, that is, using AI for FinOps through agentic cost management, and applying FinOps for AI by establishing cost governance over AI workloads.

"This book covers the dual role of AI in FinOps, that is, using AI for FinOps through agentic cost management, and applying FinOps for AI by establishing cost governance over AI workloads."

End-to-end LLM solutions can be deployed using AWS and other tools

"Deploy end-to-end LLM solutions using AWS and other tools"

LLMOps can be learned by diving into core MLOps principles

"Get started with LLMOps by diving into core MLOps principles"

The LLM Engineer's Handbook covers implementing robust data pipelines and managing LLM training cycles

"Implement robust data pipelines and manage LLM training cycles"

Nvidia's supply and capacity commitments more than doubled from $119 billion to $279 billion in a single quarter

"Supply and capacity commitments: $279 billion (up from $119 billion last quarter)"

Nvidia's future commitments of $366 billion significantly exceed their Q2 revenue of $96 billion, suggesting potential overinvestment or market uncertainty in AI infrastructure

"Two astonishing $NVDA numbers everyone should ponder: Q2 Revenue: $96 billion Future commitments: $366 billion*"

Multi-hash ID embeddings can reduce embedding table size by more than 98 percent while preserving ranking quality in production GNN systems

"We integrate multi-hash as the primary node representation, reducing the ID-embedding table size by more than 98 percent while preserving ranking quality."

Timestamp-sorted CSR storage with binary search reduces per-node temporal sampling cost from O(deg(v) + k) to O(log(deg(v)) + k)

"We implement timestamp-sorted CSR storage with binary search, reducing the per-node temporal sampling cost from $O(deg(v) + k)$ to $O(\log(deg(v)) + k)$."

A scalable GNN ranking system increased friend additions from recommendations by 16 percent and unique friend adders by 11.5 percent in production

"In an online A/B test, our system increases friend additions from recommendations by 16 percent and unique friend adders by 11.5 percent over a strong production baseline."

Message-passing GNNs can be successfully deployed on production-scale social graphs with hundreds of millions of users and tens of billions of edges

"We present a scalable end-to-end GNN ranking system for production social graphs, focusing on two design choices that are critical in this setting: multi-hash ID embeddings and temporal neighbor sampling."

A 2-stage XGBoost-based model for optimally populating eBay's View-Item page with contextual signals achieved a 0.08% lift in overall Gross Merchandise Bought

"we present a 2 stage xgboost based model that optimally populates the VI page with signals. This approach has shown a 0.08% lift in overall GMB (Gross Merchandise Bought)"

The XGBoost-based signal optimization system increased Parts and Accessories GMB by 0.58%, primarily through increased conversion of high average price items

"0.58% increase in Parts and Accessories GMB, primarily due to increase in conversion of high average price items in online experimentation"

Training Llama-3.2-3B costs over $1.5M at small scale

"Even at a small scale, training Llama-3.2-3B costs over \$1.5M"