Latest AI and tech news
Day 59 of an ongoing daily series on advanced machine learning concepts...
A freshly trained large language model is a bit like a brilliant new hire who has read most of the internet but has never once seen your company. It writes well, it reasons, and it knows a little about almost everything. It also has no idea how your ...
Everyone pictures a CSV and a Train button. The real job is data, evals, GPU memory, a model you now have to babysit, and a base model with a shelf life of about three months....
This guide explains how to fine-tune an LLM step by step, compares full fine-tuning with LoRA and QLoRA, and shows when prompting or RAG is the better way to improve a model's outputs.
Prime Intellect has released Prime Mega MoE, a training extension of DeepSeek’s fused Mega MoE kernel. DeepSeek’s kernel only ran the forward pass. Prime Intellect added a fast, overlapping backward pass. That makes the fused kernel usable for traini...
BeyondWeb Ex Ante: Ensuring Backtest Safety in Synthetic Data
Retrieval-augmented generation (RAG) has quickly become one of the most useful patterns in the burgeoning world of enterprise AI. Rather than fine-tuning a model on private data, a RAG system instead extracts text from internal documents, splits tha...
The development of autonomous vehicles has largely focused on making the individual vehicle more intelligent. Better cameras, better radar, better lidar, larger neural networks, better maps, more training data, and increasingly sophisticated systems ...
A LoRa/Meshtastic case for the RAK Wisblock 19003 that uses one 18650 battery. Modified/remixed from DeMeshe Node’s 19007 case. Compatible with the RAK 19003 only (tags also mention 19007 but description limits to 19003). Includes a small SMA-port gu...
SFT vs RLHF is usually framed as cost against capability, but it is also a staffing decision. This guide shows which stage needs experts who can do the task, which needs experts who can judge it, and how to check the judges.
Creating a draft for an extensive unstructured document might initially seem like just summarizing the primary points as a very difficult task. However, it is essentially a structured prediction problem. Each of the elements should refer to specific ...
Context Parallelism (CP) splits a batch along the sequence-length dimension, allowing each CP rank to process only a chunk of the original sequence and reducing the memory required for training. I use CP to mean any technique that splits the context ...
Seeed Studio has posted MeshCore on GitHub, a lightweight C++ library that handles multi-hop packet routing for embedded projects using LoRa and other packet radios. Nodes relay messages through each other, so devices can reach far past the range of ...
How can a model get better and worse at the same time? The answer says a lot about where local AI is heading....
A single Postgres table with two indexes outscored every published RAG pipeline on MuSiQue and ranked third on BRIGHT against systems with fine-tuned retrievers. While the numbers are great, they're really just to prove that more is less when it come...
What if every document a model gets wrong told you what to train on next? That’s the loop behind OXR....
We demonstrate end-to-end DeepSeek-V4 Flash reinforcement learning with an
AITER-backed AMD RL stack on 24 AMD Instinct
MI308X GPUs. Our test covers the complete workflow on three MI308X OAM
nodes—not only inference or an
isolated training step, but ...
Exowatt builds modular, dispatchable solar systems that deliver reliable power for energy-intensive applications such as AI data centers. Its flagship product, the Exowatt P3, captures solar energy through optical lenses, stores it as heat in a long-...
As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily lives. General-purpose language models serve as a powerful foundation, but they sometimes lack the local knowledge, cultural nuance, and...
In AI agent training, you can pay for powerful GPUs and still spend much of your time waiting. Agents need to attempt tasks and produce results before the model can learn from them. A few slow attempts can hold up the next training update, making the...
AI-assistance disclosure: I drafted this article with AI assistance, then edited it and fact-checked every number against the paper (arXiv:2610.35842)....
The following article originally appeared on The Arize Blog and is being republished here with the author’s permission....
Dataset provenance is sometimes treated as administrative metadata....
MOSS_image_MAX_ULTRA_hires_lora_test is a LoHa adapter for Comfy-Org's MOSS-Image-Base, intended to improve text-to-image generation at 4 megapixels and above. Its maintainer is comfyanonymous....
Learn how the AMD Quark team trains EAGLE3.1 draft models from scratch on AMD Instinct MI350X GPUs using ROCm, vLLM, TorchSpec, and SPEED-Bench.
A code agent generates a response. You compare its token log probabilities with those from a fixed reference policy, calculate a penalty, and discover that the "KL term" is negative....