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.

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Learning Word Vectors for Sentiment Analysis: A Python Reproduction

Towards AI

How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification Continue reading on Towards AI

AI Will Not Replace Software Developers — And I’ll Say It Loud

Towards AI

I use AI tools every single day. And I’m here to tell you: the “AI replaces developers” narrative is overblown — by at least a decade. Continue reading on Towards AI

Unsloth Just Made Fine-Tuning LLMs a Free-Tier Task.

Towards AI

A single library reduces VRAM use by 70%. This is why you can now train Qwen3 on a free Google Colab notebook. Header image generated by Gemini Nano Banana - Figure 1: Visual representation of the Qw...

Cloudflare Hired 1,111 People to Prove AI Wouldn’t Take Jobs. Then It Fired 1,100 of Them.

Towards AI

For tech workers trying to understand what’s actually happening to their industry: the Cloudflare numbers, the pattern behind them, and… Continue reading on Towards AI

Is 3-Bit KV Cache the Holy Grail? A Reality Check on Google’s TurboQuant

Towards AI

10 experiments, 3 models, one honest verdict: the quality story is real, the speed story needs a disclaimer, and there’s a finding in the entropy data nobody talks about. ⏱ ~14 min read🔬 Deep Dive⚙️ ...

How to Run Claude Code Agents in Parallel

Towards AI

Learn how to apply coding agents in parallel to work more efficiently Continue reading on Towards AI

Google Just Installed a 4GB AI on Your Computer. The Privacy Excuse Is a Lie.

Towards AI

If you use Google Chrome on a device with a dedicated GPU, Google installed a 4GB AI model without asking. Here is what it does, what it… Continue reading on Towards AI

Controlling Completion Bias When Using Plan Mode

Towards AI

Have you ever gone through a long coding session complete with testing all of the new features you built, rolled a new version and pushed. Then when requesting a slight adjustment post-commit watched ...

LSTM: Why It Was Born, How It Fixes RNN, and Why It Changed Sequence Learning

Towards AI

Sequence data is messy. Words depend on earlier words, notes depend on earlier notes, signals depend on earlier signals, and the past has this annoying habit of refusing to stay irrelevant. That is e...

AI Memory Down From 42GB to 7GB. Here’s What Google’s TurboQuant Actually Did.

Towards AI

Google’s TurboQuant compresses LLM memory by 6x with zero accuracy loss. Here’s what that actually means for your infrastructure bill — and what to do about it today. Image generated by AI If you’ve ...

AI Is the New Layoff Alibi

Towards AI

Companies have learned to say “AI.” Now someone has to ask for proof. Image generated by the author The modern layoff memo has developed a new organ. It used to have the standard parts: regret, grati...

Running MedGemma on Ollama: Multimodal Medical AI in Action

Towards AI

From medical conversations to image interpretation — all running locally with Ollama Continue reading on Towards AI