@kenklippenstein The level of idiocy is fascinating. For someone in his position to make, not only false, but directly contradicting a well known verse is a new low.
“O My servants! I have made oppression forbidden upon Myself and have made it forbidden among you, so do not wrong one another.”
Here’s a tweet for sharing the ERASE approach:
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Introducing ERASE! Enhance your language models with real-time updates by editing and deleting outdated facts. ERASE refines RAG
#AI#ML#RAG#ERASE#Innovation
https://t.co/bFNWxMybkn
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LLM Fine-Tuning vs. Retrieval-Augmented Generation
In AI there is a balance similar to batch vs. streaming in big data. Fine-Tuning offers deep, embedded knowledge, while RAG dynamically uses real-time data. The future? Combining both for responsive, intelligent systems.
#AI
MIT Lincoln Laboratory's Superconducting Qubits at Lincoln Laboratory (SQUILL) Foundry is democratizing quantum computing research by offering free fabrication capabilities for superconducting qubits. The foundry, sponsored by the Laboratory for Physical…https://t.co/p17EUFiXsi
Chemists at MIT have discovered why photosynthetic light-harvesting is so efficient. Through a study focused on purple bacteria, the researchers found that the disorganized arrangement of proteins in the light-harvesting complex en…https://t.co/8dTSEs6rUo https://t.co/EhXu3RRpJy
The experimental results indicate that cooperative embodied agents built with Large Language Models (LLMs) can plan, communicate, and cooperate with other embodied agents and humans to accomplish long-horizon tasks efficiently. The…https://t.co/qkCPQiBHNo https://t.co/A7P5vwzdPm
The article discusses the development of a new kind of analog optical computer called the Analog Iterative Machine (AIM) by Microsoft researchers. AIM uses photons and electrons to process continuous value data, unlike digital computers that use transisto…https://t.co/Ud9Yo4d1y3
Toyota has announced a breakthrough in solid-state battery technology that has the potential to halve the cost and size of batteries used in electric vehicles (EVs). Solid-state batteries are seen as the next-generation technology…https://t.co/MeSSDcPEJu https://t.co/l4q6uRH6aA
The article discusses whether it is better to use one general machine learning model or multiple specialized models for different groups. The author compares these two approaches and analyzes the effectiveness of training models in different scenarios. Th…https://t.co/tZndORFh0c
Researchers from MIT and the University of California have developed a new method called SMCP3 (sequential Monte Carlo with probabilistic program proposals) to improve the accuracy of artificial intelligence (AI) systems and estima…https://t.co/StrV37uXY3 https://t.co/BM3BVB3MFR
- A noninvasive brain-computer interface can convert thoughts into words
- The system was able to predict whole sentences heard with surprising accuracy from brain activity
- The interface was created by a team of researchers from the University of Texa…https://t.co/McR1adgECY
Synthetic data is increasingly being used to supplement or replace natural data for training neural networks.
The tools for generating useful synthetic data have grown more sophisticated as machine learning has become more advanced.
Synthetic data is us…https://t.co/IvZfQbOz2Z
- AWS Lambda Extensions provide modular functionality that can improve security, monitoring, and other aspects of your Lambda functions.
- AWS AppConfig allows you to manage application configurations across multiple environments…https://t.co/amZaS3bDDH https://t.co/GeMyeNwJ8k
PyTorch is a library for deep learning
Deep learning models can be used for regression or classification problems
PyTorch can be used to develop and evaluate neural network models for regression problems
The California housing dataset is used as an examp…https://t.co/NwH2f0z5fX
Meta has unveiled Voicebox, a text-to-output generator
Voicebox spits out audio clips instead of creating prose or pretty pictures like GPT or Dall-E
Voicebox is a non-autoregressive flow-matching model trained to infill speech
Vo…https://t.co/CJ1SRl3L2X https://t.co/TTZx5GBiiI
Using Multi-Task and Ensemble Learning for Alzheimer's patients' cognitive functioning prediction.
The study conducted by a group of researchers and machine learning scientists aimed to explore the diagnostic potential of combini…https://t.co/Reg6xTqgSX https://t.co/bqk76vV5vz