ContentsAI AgentsComponents of an AI AgentReAct (Reasoning + Acting) in AgentsA basic ReAct workflow in an AI agent usually looks like this:Structure of AI AgentsSingle Agent vs Multi-AgentWhen to Build A Multi-Agent SystemWalkthrough of A Multi-Agent ProjectMulti-Agent ArchitectureMemoryOrchestratorProject SetupDemo Video of the Multi Agent Agent RAG ResearcherNotesConclusionReach to me via:References AI Agents When building an …

Single Agent vs Multi-Agent: When to Build a Multi-Agent System Read More »

Image by Editor   Contents# Introduction# What Is Voxtral TTS?# Cloning a Voice from Three Seconds of Audio# Latency Performance: Built for Real-Time Conversations# How Voxtral TTS Works# Getting Started: Installation and Setup# Voice Cloning with a Custom Voice: A Practical Example# Use Cases# Licensing and Deployment Considerations# Conclusion # Introduction  Voice-enabled applications are everywhere, from virtual assistants to customer service chatbots. But for developers, building …

Open Weight Text-to-Speach with Voxtral TTS Read More »

Authors: Ahsaas Bajaj and Benjamin S Knight ? We ran 134,400 simulations grounded in real production ML models to find out. The answer depends on what you’re optimizing for, and on a single diagnostic you can compute before fitting a model. If you’ve ever trained a linear model in scikit-learn, you’ve faced this question: RidgeCV, …

Which Regularizer Should You Actually Use? Lessons from 134,400 Simulations Read More »

Image by Editor   Contents# Introduction# Initial Setup# Wrapping Up # Introduction  A harsh truth to begin with: textbook data science usually becomes a lie in the real world. Concepts and techniques are taught on finely curated, beautifully bell-curved data variables, but as soon as we venture into the wild of real projects, we are hit with lots of …

The “Robust” Data Scientist: Winning with Messy Data and Pingouin Read More »

In my first TDS post, I wrote about how to translate a real-world problem into an integer linear program. In my second, I wrote about how to make that program robust against uncertainty. Both were variations on the same idea: take a fuzzy real-world question, squeeze it into an LP, and let a solver do the rest. …

A Gentle Introduction to Stochastic Programming Read More »

Image by Editor   Contents# The Self-Hosted LLM Problem(s)# The Hardware Reality Check# Quantization: Saving Grace or Compromise?# Context Windows and Memory: The Invisible Ceiling# Latency Is the Feedback Loop Killer# Prompt Behavior Drifts Between Models# Fine-Tuning Sounds Easy Until It Isn’t# Final Thoughts # The Self-Hosted LLM Problem(s)  “Run your own large language model (LLM)” is the “just start your own business” of …

Self-Hosted LLMs in the Real World: Limits, Workarounds, and Hard Lessons Read More »

in a situation where you have plenty of ideas on how to improve your product, but no time to test them all? I bet you have. What if I told you that you no longer have to do it all on your own, you can delegate it to AI. It can run dozens (or even …

Let the AI Do the Experimenting Read More »

Image by Author   Contents# Introduction# 1. Transformers# 2. LangChain# 3. LlamaIndex# 4. vLLM# 5. Unsloth# 6. CrewAI# 7. AutoGPT# 8. LangGraph# 9. DeepEval# 10. OpenAI Python SDK# Comparing the 10 Libraries # Introduction  Building large language model (LLM) applications is very different from using consumer-facing tools like Claude Code, ChatGPT, or Codex. Those products are great for end users, but when you want to build your own …

10 Python Libraries for Building LLM Applications Read More »

screening system checks a name against a watchlist, it faces a silent failure mode that nobody talks about. Type “Владимир Путин” into a system indexed on “Vladimir Putin” and most name-matching approaches return nothing. The two strings share zero characters, so edit distance is meaningless, phonetic codes fail (they assume Latin), and BM25 gives up …

Bytes Speak All Languages: Cross-Script Name Retrieval via Contrastive Learning Read More »

Image by Author   Contents# Introduction# 1. Finance and Trading Bots# 2. Remote Coding and Dev Workflows# 3. Daily Briefings and Automations# 4. Personal Memory and Second-Brain Systems# 5. Research and Knowledge Pipelines# 6. Multi-Agent Systems# 7. Automating Business Operations# Final Thoughts # Introduction  OpenClaw is quickly becoming one of the most talked-about open-source agent systems right now. But beyond the hype, the real question …

7 Practical OpenClaw Use Cases You Should Know Read More »