Machines interpret prompts using models like BERT, trained to turn meanings into numerical codes, discerning context nuances and sorting meanings, refined by extensive text data.
MACHINE LEARNING
-
Embeddings in NLP: Key to Semantic Search and Sentiment Analysis
By
–
Understanding embeddings is key in NLP, essential for tasks like semantic search and sentiment analysis. They help retrieve relevant content, showing a grasp of intent and context in places like Hacker News.
-
LLMs and Embeddings: Mimicking Understanding Without True Comprehension
By
–
LLMs mimic understanding through embeddings, representing text and images as numerical arrays for comparison, not comprehension. This concept is central to image synthesis models like Dalle, revealing how machines interpret our image requests.
-
Large Language Models Excel at Numerical Comparisons, Not True Understanding
By
–
Here's the mechanics behind our interactions with machines. Large language models like GPT-4 excel in numerical comparisons, not actual language understanding, as they convert words into math.
-
Video Understanding Use Cases in AI and Deep Learning
By
–
A Tour of Understanding Use Cases https://
bit.ly/3FrPnjP #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Model Merging and Layer Count Expansion Research
By
–
Yeah there's plenty of lit on model merging in general, and IIRC it's always looking at fine-tunes from a common base — but I've not seen any papers about increasing layer counts like this.
-
Random Discovery Behind Successful AI Model Upsizing Technique
By
–
It's wild isn't it? I did a bit of a dive into this a few months ago and asked the guy who seemed to have done the first successful model upsizing where the idea came from. He told me it was just a random thing he tried and he had no particular reason to believe it would work.
-
Ray AI Runtime Simplifies LLM Fine-Tuning at Scale
By
–
With Ray AI Runtime, fine-tuning #LLMs is a breeze By enabling simple scaling of workloads, workflows, and frameworks, Ray AI Runtime simplifies the ecosystem of ML frameworks, platforms, and tools. Check out these use cases https://
bit.ly/496kBdD -
Making History with LLMs and Generative Models
By
–
How to make history with LLMs & other generative models https://
leighmariebraswell.substack.com/p/how-to-make-
history-with-llms-and?utm_source=substack&utm_medium=email
…
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Geoffrey Hinton’s Journey Inspires AI Research and Innovation
By
–
I enjoyed reading this interview with @geoffreyhinton
. As a side note, I loved the childhood and family pics, as well as reading about his touching personal journey, his challenges and hope. He has always been and will always be an inspiration for what I do. I’m grateful for it.