Multimodal Large Language Models! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Multimodal-LLMs
RESEARCH
-
Multimodal Large Language Models: Key Technologies and Frameworks
By
–
-
Neural Networks Fundamentals: Machine Learning Explained
By
–
Explaining Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Explaining-NNs -
Llama 3-70B Performance: MMLU Benchmarks and GPT-5 Implications
By
–
Llama 3-70B is pretty close to what you would expect. Only GPT-5 (or an unexpected leap from somewhere else) will tell us about the future curve. (And also MMLU is super limited, but it is one of the few yardsticks we have)
-
Academic Paper Criticism on Twitter Raises Community Ethics Concerns
By
–
Yeah, gonna delete this. People are just insulting the paper authors without reading the paper or understanding the context of the fields being discussed. They didn’t ask that I tweet about them, and I didn’t expect the tweet to travel so widely. Getting nasty on Twitter.
-
Agent-Based Modeling as Appropriate Research Method for Specific Questions
By
–
As this tweet has traveled further from its initial audience, the commentary has gotten particularly toxic. i may have to delete. This isn’t about replacing all psych studies or ethnography, etc.! But there are many research questions where agent-based modeling is appropriate.
-
Seminal Paper on Organizational Behavior in Economics
By
–
That is not right at all. They are common in economics, organization studies, and economic sociology. This is one of the more important papers ever written on organizational behavior: https://
jstor.org/stable/2634336 -
Understanding LLM Hallucinations: Critical Challenge for Reliable AI Tools
By
–
The biggest challenge IMO is helping people understand the hallucination problem and how unreliable these tools are – if you don't understand that it's much harder to put these things to good use
-
GPT-2 Reproduction with Increased Channel Size and Memory Optimization
By
–
We want to do a full GPT-2 repro, at channel size 1600 this is 2.1X higher C. And we'll want to ~max out batch dim to fit in memory too. So the "easy times" will be over soon.
-
ScaleFold Reduces AlphaFold Training Time to 10 Hours
By
–
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours Zhu et al.: https://
arxiv.org/abs/2404.11068 #ArtificialIntelligence #DeepLearning #MachineLearning -
Understanding AI Layers: From Broad Concepts to Generative AI
By
–
Peeling the layers of #AI: From broad AI concepts to the niche realm of #GenerativeAI, each layer builds upon the next. Stay updated with @ingliguori for insights into AI's complex structure and master its potential with 'The Digital Edge' https://
bit.ly/3u4pILl #DeepLearning