Writing Samples

Published writing samples

Examples of my published AI/ML explainers, company profiles, research summaries, tutorials, and industry analysis.

Learn Prompting / Guide, Prompt Engineering / Sep 3, 2025

LLM Parameters Explained: A Practical Guide with Examples for OpenAI API in Python

Edited a practical guide to the key parameters that control LLM behavior: temperature, top-p, max tokens, frequency and presence penalties, and stop sequences, explaining how each one affects randomness, coherence, length, repetition, and novelty, with concrete examples using OpenAI's ChatGPT and API so you can reliably steer outputs from deterministic to creative.

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Learn Prompting / Guide, AI Safety / Sep 3, 2025

What is AI Red Teaming?

Overview of AI red teaming, its history and core concepts, how it differs from traditional security testing, the key components of a red team exercise, common vulnerabilities uncovered in practice, and the unique challenges faced by practitioners testing modern AI systems.

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Turing Post / Technical / Jun 13, 2024

What is Joint Embedding Predictive Architecture (JEPA)?

Technical deep dive on JEPA (Joint-Embedding Predictive Architecture), a framework for self-supervised learning and world models proposed by Yann LeCun. Received public endorsement from Yann LeCun, its creator and one of the godfathers of AI, who called it an “Excellent blog post” on both LinkedIn and Twitter/X.

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Turing Post / Technical / Jun 6, 2024

What is Graph RAG approach?

Guide to Graph RAG, explaining how graph-structured retrieval upgrades classic RAG by addressing its key limitations and leveraging knowledge graphs for better reasoning over complex information.

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Turing Post / Technical / Jun 6, 2024

What is LongRAG framework?

Explainer on the LongRAG framework, outlining the limitations of standard long-context RAG and introducing LongRAG's architecture and intuition. How it restructures retrieval to better handle long documents—along with its key advantages and curated resources for further study.

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Turing Post / Technical / May 25, 2024

What is Mixture-of-Experts (MoE)?

Introduction to Mixture-of-Experts (MoE) models, tracing their history and original architecture, explaining why modular “experts” with conditional computation can outperform a single dense network, and showing how MoEs combined with Transformers underpin modern scalable systems like Mistral, DBRX, Jamba, Grok-1, and Arctic.

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Turing Post / Technical / Jan 4, 2024

What are Hallucinations: a Critical Challenge or an Opportunity?

Explainer on hallucinations in foundation models - what they are, why they occur, how to detect them, when they're harmful or occasionally useful. Practical strategies to reduce or mitigate them, and a curated set of tools, libraries, and datasets for working with hallucinations in practice.

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Turing Post / Technical / Nov 30, 2023

What is Low-Rank Adaptation (LoRA)?

Guide to Low-Rank Adaptation (LoRA) in the context of large language models, explaining when full fine-tuning is truly necessary, how LoRA compares to other adaptation techniques, the core intuition behind it, how it works under the hood, and why it offers a more efficient way to specialize billion-parameter LLMs.

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Turing Post / Technical / Oct 26, 2023

Transformer and Diffusion-Based Foundation Models

Authored the technical sections on Transformer-based and Diffusion-based models and conducted research on generative model architectures to trace the origins of diffusion models; other generative models aren't covered due to space constraints.

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Turing Post / Technical / Oct 18, 2023

From Chain-of-Thoughts to Skeleton-of-Thoughts, and everything in between

Survey of the Chain-of-Thought Prompting lineage, tracing how the original NeurIPS 2022 Google Brain paper sparked a wave of follow-up work and “chain”-style methods, from Self-Consistency, Zero-Shot CoT, Auto-CoT, and Program-of-Thoughts to Multimodal CoT, Tree-of-Thoughts, Graph-of-Thoughts, Algorithm-of-Thoughts, and Skeleton-of-Thought, and mapping their core ideas, innovations, and relationships in a single, up-to-date reference.

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Turing Post / Technical / Sep 7, 2023

How to Handle Missing Values?

Gathered expert commentary on handling missing values in machine learning datasets, featuring insights from three industry experts: Ryan Kearns (Founding Data Scientist, Monte Carlo), David Berenstein (Developer Advocate, Argilla), and Abhishek Pawar (Senior Data Scientist, Precisely).

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Turing Post / Technical / Aug 4, 2023

How to Leverage Open-Source LLMs in Your Project

Gathered expert commentary on implementing open-source LLMs in production, featuring insights from five industry experts: Edward Beeching (Hugging Face research scientist and co-creator of Open LLMs leaderboard), Rajiv Shah (Hugging Face ML engineer), Aniket Maurya (Lightning AI developer advocate), Lianmin Zheng (UC Berkeley PhD student and Vicuna contributor), and Devis Lucato (Microsoft principal architect, Semantic Kernel).

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Turing Post / History / Jul 7, 2023

There Would Have Been No LLMs Without This

Historical deep dive into the AI and ML breakthroughs of the 1990s to mid-2000s, showing how foundational ideas from that era, developed under severe computational constraints, paved the way for today's large language models.

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Turing Post / Technical / May 31, 2023

Algorithm or Personality? The Significance of Anthropomorphism in AI

Exploration of the origins of anthropomorphism in AI, examining why humans instinctively attribute human qualities to non-human systems, how fictional narratives and media portrayals of robots and AI shape public perception, and the psychological implications of these tendencies for human–AI relationships and trust.

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Learn Prompting / Newsletter / Sep 3, 2025

10 AI Trends in 2025 You Can't Miss

From autonomous AI and multimodal capabilities to smaller language models, accelerated product development, and chatbots with near-infinite memory.

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Learn Prompting / Newsletter / Sep 3, 2025

AI Gets Smarter by Knowing When to Shut Up

In this week's newsletter, we're diving into the latest updates from OpenAI, Anthropic, Google, and more. Plus, we've got a special announcement about our upcoming AI Red Teaming and AI Security Masterclass.

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Learn Prompting / Newsletter / Sep 3, 2025

AI That Feels Like A Real Person

Discover how researchers are creating simulation agents that can replicate human attitudes and behaviors with 85% accuracy, and learn about the latest developments in AI agents from Microsoft, Google, and more.

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Learn Prompting / Newsletter / Sep 3, 2025

AI That Learns by Watching You?

Plus, updates from Perplexity, Replit, ElevenLabs, and Google, must-have tools for developers, and 2 papers on the real impact of prompting—is Prompting dead or thriving?

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Learn Prompting / Listicle / Sep 3, 2025

Best Free AI Image Generators in 2025

Discover the top free AI image generators of 2025! Learn how these tools can help you create stunning visuals effortlessly, no artistic skills required.

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Learn Prompting / Newsletter / Sep 3, 2025

How Are People Using AI Tools for Writing Every Day?

A comprehensive study by researchers at Stanford, the University of Washington, Emory University, and others reveals how AI tools are transforming consumer complaints, corporate communications, job postings, and even United Nations press releases.

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Learn Prompting / Listicle / Sep 3, 2025

How To Use ChatGPT Search?

Discover how to integrate real-time web data into ChatGPT for timely, sourced answers, streamlining research and eliminating tab hopping.

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Learn Prompting / Listicle / Sep 3, 2025

How To Use Projects in ChatGPT?

Organize chats, files, and instructions into structured folders, creating tailored workspaces that streamline complex projects and ensure context.

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Learn Prompting / Newsletter / Sep 3, 2025

OpenAI's New Image Generation Model: Competing with the Studios?

OpenAI's GPT-4o is turning heads with image generation capabilities that come remarkably close to professional quality. The model creates visuals comparable to professional services but does it in minutes instead of hours and at a fraction of the cost. This is both exciting and a bit concerning for the creative industry.

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Learn Prompting / Newsletter / Sep 3, 2025

The Multimodal AI Boom

From Google's Veo to OpenAI's Sora, the multimodal AI space is heating up. Plus, explore the future of AI and learn GenAI with 15 hands-on courses!

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Learn Prompting / Guide, Prompt Engineering / Sep 3, 2025

What is Prompt Engineering? How and Why Does It Work?

Learn how prompt engineering works, why it matters, and how to get started. Understand the importance of phrasing your instructions, and explore techniques like few-shot prompting, chain-of-thought, and role prompting.

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Learn Prompting / Newsletter / Sep 3, 2025

What Is Vibe Coding?

Explore vibe coding, the emerging trend where developers 'give in to the vibes' and let AI handle most coding tasks. Learn how this approach is transforming software development and what it means for the future of programming.

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Turing Post / Company Profile / Jul 5, 2024

xAI Profile

Co-authored profile of xAI, the AI company founded by Elon Musk.

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Turing Post / Company Profile / Jun 15, 2024

Cerebras Profile

Co-authored comprehensive profile of Cerebras, the AI chip company revolutionizing large-scale AI training with their wafer-scale engines and innovative hardware architecture.

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Turing Post / Technical / May 30, 2024

What is Mamba?

Authored technical guide to Mamba, the state-space model architecture that challenges Transformer dominance with linear scaling.

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Turing Post / Company Profile / May 11, 2024

Moonshot AI Profile

Co-authored deep dive into Moonshot AI, the Chinese unicorn pioneering breakthrough long-context AI technology with their Kimi chatbot and 200K+ token context windows.

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Turing Post / Company Profile / May 4, 2024

Zhipu AI Profile

Co-authored profile of Zhipu AI, one of China's leading AI companies behind the ChatGLM series and innovative multimodal AI solutions.

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Turing Post / Company Profile / Apr 27, 2024

Snowflake Profile

Co-authored analysis of Snowflake's evolution from cloud data warehouse to AI platform, exploring their machine learning capabilities and data cloud ecosystem.

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Turing Post / History / Apr 25, 2024

Computer Vision in the 1980s

Co-authored historical exploration of computer vision breakthroughs in the 1980s, covering key algorithms and foundational research.

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Turing Post / Company Profile / Mar 9, 2024

CoreWeave Profile

Co-authored profile of CoreWeave, the GPU cloud infrastructure company powering AI workloads with specialized hardware for machine learning and rendering.

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Turing Post / Technical / Feb 29, 2024

Data Privacy in LLM systems

Authored comprehensive guide to data privacy challenges in large language model systems, covering compliance, security, and best practices.

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Turing Post / Company Profile / Feb 24, 2024

Scale AI Profile

Authored comprehensive profile of Scale AI, the $7.3B data infrastructure company powering AI training for autonomous vehicles, defense, and enterprise applications.

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Turing Post / Company Profile / Feb 4, 2024

Databricks Profile

Co-authored profile of Databricks, exploring their lakehouse architecture, unified analytics platform, and leadership in enterprise AI and machine learning workflows.

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Turing Post / Company Profile / Dec 16, 2023

AI21 Labs Profile

Co-authored profile of AI21 Labs, the Israeli startup behind Jurassic LLMs and innovative AI writing tools, exploring their unique approach to language models.

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Turing Post / Company Profile / Sep 29, 2023

Lightricks Profile

Co-authored profile of Lightricks, the creative technology company behind popular apps like Facetune, exploring their AI-powered photo and video editing innovations.

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Turing Post / Company Profile / Sep 1, 2023

Cohere AI Profile

Co-authored analysis of Cohere, the enterprise-focused AI company providing language models and NLP solutions for business applications and retrieval systems.

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