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Agnes-AI/Agnes-3.0-Flash 33B Multimodal, AA score: 36

I find this new model at HF: "Built for demanding work. A 262 144-token context window, adjustable reasoning effort, tool calling, and text, image and video understanding. Architecture...

r/LocalLLaMA·1d ago

The AI Hardware Revolution: 3 Essential Tech Gear Upgrades for the Autonomous Era

by Sardar — As AI agents transform from simple text-based chatbots into proactive, autonomous digital assistants, our personal device ecosystem is…

Sub-Second Latency in Voice AI: How to Build Enterprise-Grade Conversational Agents

by InterCode AI development boutique — Voice-based Artificial Intelligence has reached a critical tipping point. While text-based conversational interfaces revolutionized…

From Bad Prompts to Great Results: A Beginner’s Guide to Prompt Engineering

by Amin Uddin — What is Prompt Engineering?Prompt engineering is the practice of designing and optimizing inputs to large language models (LLMs) to achieve desired outputs. It involves crafting the text that you...

Towards AI·2d ago

One cheeseburger has roughly the greenhouse gas emissions of 63,000 Gemini AI text prompts.

A 2024 University of Wisconsin–Madison paper estimates that "one cheeseburger equates to 1.9 kg of CO₂e emissions". Google’s 2025 research paper reports that "a median Gemini Apps text prompt...

r/artificial·2d ago

RelatedGoogle Gemini

bartowski/Qwen3.8-27B-GGUF · Hugging Face - Updated (Per-tensor layout)

Blog Post : Per-tensor layout maps for GGUF quantization Reddit thread : New tensor type layouts for my GGUF uploads EDIT : Model card has updated things such as Graph, table, text, etc.,

r/LocalLLaMA·19h ago

Use the Right Prompt for the Job: Image Briefs vs. Text Briefs

by Just Story — A routing guide for deciding which model should make which decision and how to hand work from strategy to visual production.

Text-to-SQL Agent in Python: LLM Tool Calling Tutorial

by Talha Anwar — Build a Text-to-SQL Agent in Python Where Only the Tool Is CodeAn LLM tool calling tutorial: keep the model, the system prompt and a tool description in a dashboard, and only the Python function...

Towards AI·1d ago

Training a 210M text-to-image DiT from scratch on one GPU: what I measured [P]

I trained a 210M-parameter text-to-image diffusion transformer from scratch (3.5 days, one RTX PRO 6000, 4.2M images at 256²) mainly to understand the recipe end to end. Three measurements came out...

r/MachineLearning·1d ago

How Google AI "thinks"

Got this as text in a search on a particular kind of plant, " Pet Safety: Note that areca palms are considered [non-toxic or safe? wait, check snippet 0.6.1 says "Unsafe For Pets"]—actually let's...

r/artificial·2d ago

RelatedGoogle Google DeepMind

How AI Text Watermarks Work Without Changing What You Read.

by Shripad Khandare — How LLM Text Watermarking Works

Medium·2d ago

Glitch Tokens Compared to Fragile Tokens

by Aemon Algiz — Contextual Copying Failures Beyond Isolated Token ProbesAbstractSuccessful repetition of an isolated token does not establish that the token will be preserved in surrounding text. I study...

Towards AI·21h ago

Claude Humanizer Skill: What It Actually Is (and How to Use It)

by Yury Cavalcante — I tested the idea on a real Claude draft. What happened was more interesting than simply making the text “less AI.”

RelatedAnthropic Claude

I Put Speech Recognition Inside an Android Keyboard. Here’s What Broke.

by Farhad Ranjbar (فرهاد رنجبر) — Building an offline, on-device speech-to-text engine inside an Android IME taught me that mobile AI is less about models and more about…

AI Doesn’t Hacked. It Just Trusts the Wrong Things.

by Nanashi Bx2 — Why AI agents get tricked, and what trusting the wrong text can actually cost you

The Empathy Gap: Are We Forgetting How to Talk to Each Other Because of AI?

by MrP Updates — The Text That Never Came

Medium·2d ago