Anchoring the African AI ecosystem Crucial to the WAXAL project was our commitment to work with and contribute directly to the African AI ecosystem. The data collection effort was led …
Tag:
language
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Generative AI
How to build a stable and efficient QLoRA fine-tuning pipeline using Unsloth for large language models
In this tutorial, we demonstrate how to efficiently fine-tune using a large language model tasteless And QLoRA. We focus on building a stable, end-to-end supervised fine-tuning pipeline that handles common …
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AI News
Sakana AI introduces Doc-to-LoRA and Text-to-LoRA: hypernetworks that instantly internalize long contexts and optimize LLMs through zero-shot natural language.
Optimizing large language models (LLMs) currently presents a significant engineering trade-off between flexibility and In-Context Learning (ICL) and efficiency of Context Distillation (CD) Or Supervised Fine-Tuning (SFT). Tokyo-based Sakana AI …
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SAN FRANCISCO – Before uploading a large language model to space-grade hardware, Boeing space mission systems engineers sought guidance from the hardware manufacturer. “They told us it wasn’t possible, but …
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19 February 2026 3 read minutes Add us on GoogleAdd SciAm ‘Mind-blowing’ baby chick study challenges theory of how humans evolved language Newborn chicks associate sounds with shapes just like …
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Generative AI
Inside the forward pass: GPU economics of pre-fill, decode, and serve large language models.
Last updated on February 17, 2026 by Editorial Team Author(s): Utkarsh Mittal Originally published on Towards AI. Why is guessing the last game? Pre-training a marginally large language model typically …
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AI Tools
How to align large language models with human preferences using direct preference optimization, QLoRA, and ultra-feedback
In this tutorial, we implement an end-to-end direct preference optimization workflow to align a large language model with human preferences without using reward models. We combine TRL’s DPOTrainer with QLORA …
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Generative AI
How to build a privacy-preserving federated pipeline to fine-tune large language models with LoRA using Flowers and PyFT
!pip -q install -U “protobuf<5” “flwr(simulation)” transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes import os os.environ(“RAY_DISABLE_USAGE_STATS”) = “1” os.environ(“TOKENIZERS_PARALLELISM”) = “false” import math …
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Generative AI
A coding implementation to set up rigorous accelerated versioning and regression testing workflows for large language models using MLflow
In this tutorial, we show how we treat signals as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline …
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AI Tools
Beyond Vision Language Action (VLA) models: Moving toward agentic skills for zero-error physical AI.
Author(s): telekinesis ai Originally published on Towards AI. Vision Language Action (VLA) models are the hottest topic in physical AI right now. If you’re in the field of robotics or …
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