Sign up today to see the future Cutting-edge innovations in science and technology cannot be forgotten AI companies are spending huge amounts of money on data centers – infrastructure expenditure …
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Sign up today to see the future Cutting-edge innovations in science and technology cannot be forgotten For almost as long as the Internet has existed, users have been able to …
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Future Tech
A large number of people are uninstalling ChatGPT due to increasing anti-OpenAI sentiment
Sign up today to see the future Cutting-edge innovations in science and technology cannot be forgotten This is a PR hit that will be hard to come back from. After …
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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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Future Tech
A large portion of high school kids are using AI to do their homework, which probably isn’t going to end well
Sign up today to see the future Cutting-edge innovations in science and technology cannot be forgotten Who could have guessed that when you give millions of kids free access to …
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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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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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