lampinen, to ArtificialIntelligence
@lampinen@sigmoid.social avatar

How well can we understand an LLM by interpreting its representations? What can we learn by comparing brain and model representations? Our new paper (https://arxiv.org/abs/2405.05847) highlights intriguing biases in learned feature representations that make interpreting them more challenging! 1/9

ramikrispin, to llm
@ramikrispin@mstdn.social avatar

Fine Tuning LLM Models – Generative AI Course 👇🏼

FreeCodeCamp released today a new course for fine tuning LLM models. The course, by Krish Naik, focuses on different tuning methods such as QLORA, LORA, and Quantization using different models such as Llama2, Gradient, and Google Gemma model.

📽️: https://www.youtube.com/watch?v=iOdFUJiB0Zc

HxxxKxxx, to ArtificialIntelligence German
@HxxxKxxx@det.social avatar

Vom 16.9.-19.9.2024 richten wir an der Universität zu Köln wieder eine Sommerschule zum Thema
"Deep Learning for Language Analysis“ aus,

Weitere Informationen: http://ml-school.uni-koeln.de/

SIB, to ArtificialIntelligence
@SIB@mstdn.science avatar

“The Protein Universe Atlas is a groundbreaking resource for exploring the diversity of proteins. Its user-friendly web interface empowers researchers, biocurators and, students in navigating the “dark matter” to explore proteins of unknown function.”

🥁 That’s what the committee said about this work, one of the 2023 👏

👉 Find out more about this and the other outputs: https://tinyurl.com/ye2yrpxx

video/mp4

koen, to ArtificialIntelligence
@koen@procolix.social avatar

Paul Gerke presents on infrastructure for at @nluug

metin, (edited ) to ai
@metin@graphics.social avatar

So… Big Tech is allowed to blatantly steal the work, styles and therewith the job opportunities of thousands of artists and writers without being reprimanded, but it takes similarity to the voice of a famous actor to spark public outrage about AI. 🤔

https://www.theregister.com/2024/05/21/scarlett_johansson_openai_accusation/

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