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Machine Learning Algorithms: Supervised and Unsupervised Learning Quick Guide

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@ingliguori

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07 September 2025 19h25

Machine Learning Algorithms – Quick Guide Supervised Learning Regression – Linear, Polynomial Decision Tree Random Forest Classification – KNN, Logistic Regression, Naive Bayes, SVM Unsupervised Learning Clustering – SVD, PCA, K-means Association

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Building Automated Academic Review Articles with LangGraph

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@langchain

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07 September 2025 19h00

AI Review Article Writer A technical series on building a system that automatically generates academic review articles using LangGraph's multi-agent architecture, handling complex document processing while maintaining rigorous academic standards. Learn more →

8 Essential Skills for Production-Ready LLM Applications

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07 September 2025 15h22

These 8 skills separate hobby projects from production-ready AI systems.

Master them, and you'll build LLM applications that actually work in the real world!

Over to you: What other LLM development skills would you add? pic.twitter.com/dGiDUdPdRP
— Akshay 🚀 (@akshay_pachaar) 7 septembre 2025

These 8 skills separate hobby projects from production-ready AI systems. Master them, and you'll build LLM applications that actually work in the real world! Over to you: What other LLM development skills would you add?

Context Engineering: A Crucial Skill for Modern AI Engineers

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07 September 2025 15h22

8️⃣ Context Engineering

Context engineering is rapidly becoming a crucial skill for AI engineers. It's no longer just about clever prompting; it's about the systematic orchestration of context.

This post tells you more about what it actually means: https://t.co/Sf5iDWBnRO
— Akshay 🚀 (@akshay_pachaar) 7 septembre 2025

Context Engineering Context engineering is rapidly becoming a crucial skill for AI engineers. It's no longer just about clever prompting; it's about the systematic orchestration of context. This post tells you more about what it actually means:

LLM Observability: Implementing Tracing, Logging, and Dashboards

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07 September 2025 15h22

LLM Observability No matter how simple or complex your LLM app is, you must learn how to implement tracing, logging, and dashboards to monitor prompts, responses, and failure cases. @Cometml
's Opik is 100% open-source solution for this. Check this

LLM Optimization: Quantization, Pruning, and Distillation Techniques

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07 September 2025 15h22

LLM Optimization An AI engineer must know how to cut costs by using quantization, pruning, and distillation to minimize memory use and inference costs. This helps you balance speed, accuracy, and hardware use. Here's a really goof article:

LLM Deployment: Production-Grade APIs with vLLM

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07 September 2025 15h22

LLM Deployment This skill lets you package models into production-grade APIs. Managing latency, concurrency, and failure isolation (think: autoscaling + container orchestration). You should check @vllm_project
, an open-source LLM inference engine.

8 Pillars of Production-Grade LLM Development

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07 September 2025 15h21

Production-grade AI systems demand deep understanding of how LLMs are engineered, deployed, and optimized.

Here are the 8 pillars that define serious LLM development:

Let's dive in! 🚀 pic.twitter.com/5THpHmudsC
— Akshay 🚀 (@akshay_pachaar) 7 septembre 2025

Production-grade AI systems demand deep understanding of how LLMs are engineered, deployed, and optimized. Here are the 8 pillars that define serious LLM development: Let's dive in!