Towards AI

“Towards AI” is a platform that delves into various aspects of artificial intelligence and machine learning. The content covers topics such as data augmentation for machine learning, Python programming scripts, and the use of Python in web3, blockchain, and smart contracts. Additionally, it explores the challenges and solutions in building AI applications with features like short-term memory and persistent conversation history. The platform also discusses the importance of understanding and utilizing enterprise-grade tools like Spark, EMR on EKS, and Airflow 3 for creating secure and efficient knowledge bases for AI applications.

Pydantic AI vs LangGraph: Understanding the Two Different Problems They Solve

 Towards AI

Introduction Building AI agents used to mean writing a single prompt and hoping for a usable answer. That approach breaks down quickly once an application needs to call tools keep track of state acros...

📚 Read more at Towards AI
🔎 Find similar documents

Context Engineering for Bedrock Agents: A Hands-On Guide Beyond Prompt Engineering

 Towards AI

You’ve spent weeks meticulously refining your system prompts. You’ve tried chain-of-thought reasoning, a few-shot examples, role-playing prefixes, and more. Yet, your Bedrock agent still confidently g...

📚 Read more at Towards AI
🔎 Find similar documents

Understand HNSW: Why Your Vector Search Returns Garbage (Build your own minimalist HNSW from…

 Towards AI

Understand HNSW: Why Your Vector Search Returns Garbage (Build your own minimalist HNSW from scratch) I still remember that query. Typed in “how to cancel my subscription”, and the result that came o...

📚 Read more at Towards AI
🔎 Find similar documents

Half the Answer Keys in Text-to-SQL Benchmarks Are Wrong.

 Towards AI

Half the Answer Keys in Text-to-SQL Benchmarks Are Wrong. So I Generated the Database From the Answer Key. A VLDB 2026 audit found that most text-to-SQL answer keys are wrong; so I tried inverting th...

📚 Read more at Towards AI
🔎 Find similar documents

Why AI Agent Memory Architecture Matters for Customer Service

 Towards AI

Most AI agent implementations treat memory as a single context blob: everything the agent has ever seen, concatenated into a prompt and passed forward. That works well enough in demos. It breaks down ...

📚 Read more at Towards AI
🔎 Find similar documents

AI-First Desktop App Architecture: How Developers Should Build for Agentic Operating Systems

 Towards AI

AI-first desktop apps need to expose goals, context, tools, permissions, and progress instead of hiding all useful work behind screens. The next desktop shift is not a prettier chatbot. It is software...

📚 Read more at Towards AI
🔎 Find similar documents

5 Claude Code Plugins That Turned One Assistant Into an Engineering Team

 Towards AI

A memory system, five parallel code reviewers, and a plugin that refuses to over engineer — here’s what changed when I stopped treating Claude Code like a single assistant. Three months ago, every ses...

📚 Read more at Towards AI
🔎 Find similar documents

Prompt Libraries Are Software. Build Them Like It

 Towards AI

Part 2 of the AI Development Lifecycle — Designing a production-ready Prompt Library (New here? Part 1 covers the why — worth a quick read first, then come back.) I will be honest, my first attempt a...

📚 Read more at Towards AI
🔎 Find similar documents

The Numbers That Never Sleep: Building a $10,000/Month Solo Bookkeeping Business with Claude

 Towards AI

How a solo bookkeeper can serve more clients, deliver deeper financial insight, and build passive income layers — using Claude to handle the heavy lifting that used to require a full accounting team....

📚 Read more at Towards AI
🔎 Find similar documents

Databricks Benchmarked Coding Agents on Its Own Codebase. The Results Should Change How You Buy

 Towards AI

Four findings from Matei Zaharia’s team: open source caught up, GLM-5.2 is the real deal outside benchmark-land, a minimal harness matched vendor harnesses at half the cost — and cheaper per-token ca...

📚 Read more at Towards AI
🔎 Find similar documents

How Deep Research Agents Turn Complex Questions Into Trusted Answers

 Towards AI

Correct Answer: (B) Break the decision into focused research questions. The agent should decompose the business decision into searchable areas such as market size, customer demand, regulatory requirem...

📚 Read more at Towards AI
🔎 Find similar documents

GPT-5.6 Sol, Terra, and Luna: OpenAI’s New Naming Scheme Is Actually a Strategy

 Towards AI

Three tiers, one generation, and a benchmark chart with a story inside it: the flagship now scores more per token, not just more. OpenAI just moved the GPT-5.6 family to general availability, and the...

📚 Read more at Towards AI
🔎 Find similar documents