Ankur’s Newsletter

GPT-5 in Production: What Early Enterprise Integrations Reveal

GPT-5's enterprise rollouts boost productivity up to 40%, but costs, latency and governance risks demand tight token limits, guardrails and hybrid…

Aug 21 • 

Ankur A. Patel

1

July 2025

Comparing AI Cloud Providers in 2025: Coreweave, Lambda, Cerebras, Etched, Modal, Foundry and New Entrants

Read for a thorough comparison of cloud AI providers like Coreweave, Lambda, Cerebras, Etched, Modal, Foundry, and some new entrants in this space.

Jul 21 • 

Ankur A. Patel

What Are AI Evals And Why Are They a Technical Moat

AI evals are the enterprise moat: systematic evaluation systems that transform probabilistic AI into reliable assets. Learn more about what they are and…

Jul 3 • 

Ankur A. Patel

1

June 2025

How to Build Agentic AI for Enterprises

Building agentic AI systems for enterprises can be an engineering nightmare. Learn what techniques, principles, and methods help.

Jun 13 • 

Ankur A. Patel

1

Key RAG Techniques: Benefits, Costs, Applications

Compare different Retrieval Augmented Generation (RAG) techniques including implementation methods, best practices, and challenges to overcome.

Jun 6 • 

Ankur A. Patel

1

May 2025

Gemini Vs Claude: What’s Better at Coding?

Compare Google Gemini vs Anthropic’s Claude for coding, multimodal integration, agentic automation, benchmark results, and real-world use cases.

May 29 • 

Ankur A. Patel

Visual vs. Code-Centric AI Agent Frameworks: A Comparison

Compare visual vs. code-centric AI agent frameworks to find the best fit for your workflow-exploring use cases, technical specs, pros, and cons.

May 8 • 

Ankur A. Patel

1

April 2025

Open AI O3, O4-mini, GPT-4o and Alternatives: A Comparison

Compa the top AI models of 2025—OpenAI’s o3, o4-mini, GPT-4o, Google Gemini, Claude 3.7 Sonnet, and DeepSeek v3—compared for multimodal power…

Apr 24 • 

Ankur A. Patel

3

1

The Real Price of AI: Pre-Training Vs. Inference Costs

AI inference costs far outweigh training. Learn why they're rising & how to optimize model deployment, hardware & techniques for sustainable AI value.

Apr 10 • 

Ankur A. Patel

2

March 2025

CoreWeave vs Modal vs Anyscale For Distributed AI Workloads

Compare CoreWeave, Modal, and Anyscale for distributed AI workloads—exploring performance, scalability, cost efficiency, and best-suited applications.

Mar 27 • 

Ankur A. Patel

2

Reasoning Vs Non-Reasoning LLMs: Architectural Tradeoffs

Explore the architectural divide in modern AI: specialized reasoning engines vs. general-purpose models, and the emerging standards shaping their…

Mar 20 • 

Ankur A. Patel

1

Pinecone vs. Weaviate vs. Milvus for Vector Search

Compare Pinecone, Weaviate, and Milvus—leading vector databases for AI applications. Explore their strengths in vector search, scalability, and…

Mar 6 • 

Ankur A. Patel

2