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“Finetuning excels in its ability to adapt an LLM’s behaviour to specific nuances, tones, or terminologies. If we want the model to sound more like a medical professional, write in a poetic style, or use the jargon of a specific industry…” — @HeikoHotz towardsdatascience.com/rag-vs-finetun…
How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning •…
How GPT3 works. A visual thread. A trained language model generates text. We can optionally pass it some text as input, which influences its output. The output is generated from what the model "learned" during its training period where it scanned vast amounts of text. 1/n
Open-source ML is at it again! Databricks just released Dolly 2.0! Here's what you need to know: - This model is a 12B parameter language model based on EleutherAI Pythia model family. - It's fine-tuned on 15K high-quality human-generated prompt/response pairs (crowdsourced…
The best threads on what’s happening in AI:
Study Deep Learning for Free from MIT MIT's introductory course on deep learning methods with applications in computer vision, language, and more! Course Link: introtodeeplearning.com
Computer vision is coming back into the forefront with Stable Diffusion. But if you're totally new to CV, you've gotta get started somewhere. No matter your skill level, here’s my favorite computer vision course. (And, of course, it’s 100% free from University of Michigan!)
Mastodon has just passed over 2 million active monthly users, a new record! People are voting with their feet. The future of social media doesn't have to belong to a billionaire, it can be in the hands of its users.
A nice article on #mlops, #datadrift and other concepts - mahajan-sameer.medium.com/mlops-series-i…
mahajan-sameer.medium.com
MLOps Series: Introduction to MLOps, Data Drift, Concept Drifts, and how to handle them in ML…
Sameer Mahajan
A few more photorealistic samples from the new Lexica model.
Excited to share that my day-long workshop (a short course) on #ExplainableAI is now publicly available as a five-part youtube video lecture series. Link to video lectures: lnkd.in/gzfmJug9 Link to slides: lnkd.in/e_RsBVPx #AI #ML @trustworthy_ml @XAI_Research
Excited about #Python 3.11? Me too! I made a video to give you the major highlights! Python 3.11 in 100 seconds: youtu.be/8NQGZA1wWiQ
youtube.com
YouTube
Python 3.11 in 100 Seconds!
Most movies are boring. But the right ones will blow your mind. Here is a list of 10 movies that a programmer cannot miss:
Who thinks @CathieDWood and ARK analysts should join @EHolmlin for a discussion on @bionanogenomics scalability, adoption & roadmap. $BNGO is a global market leader in the blue ocean of Optical Genome Mapping. But..what's really interesting is what customers utilise Saphyr for
One of my favourite illusions to show students. Turn your phone upside down
This tutorial will introduce compute and data-efficient transformers and provide a step-by-step to create your own Vision Transformers. Through this guide, you'll be able to train state of the art results for classification in both computer vision & NLP. medium.com/pytorch/traini…
3. I called the police & was told to wait 1 hour with 4 witnesses waiting with me. Later after calling the police again I was informed that they would not send an investigating officer. Is it ok to have an object such as this thrown towards your head? @MetCC @SadiqKhan
All in on computer vision - removing radar from the cars. Wow! electrek.co/2021/05/25/tes…
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