Compositional hardness in large language models (LLM): a probabilistic approach to code generation
A popular approach when using large language models (LLMs) for complicated analytical tasks, such as code generation, is to try ...
Tag: models
FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models | by W Brett Kennedy | Oct, 2024
Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic combinations of numeric featuresIn this ...
Meta AI Introduces MovieGen: A Series of New AI Models from the Advanced Media Foundation
The Meta ai research team has introduced MovieGen, a set of next-generation media core models (SotA) that will revolutionize the ...
Zyphra launches Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct: a new series of next-generation small language models that surpass Gemma2-2B-Instruct
ai research organization Zyphra has recently introduced two innovative language models, Zamba2-1.2B-Instruction and Zamba2-2.7B-Instruction. These models are part of the ...
Build Your Fashion Assistant App Using Amazon Titan Models and Amazon Bedrock Agents
In the era of generative ai, agents that simulate human actions and behaviors are emerging as a powerful tool for ...
Apple AI Research Introduces MM1.5: A New Family of High-Performance Generalistic Multimodal Large Language Models (MLLM)
Multimodal Large Language Models (MLLM) represent a cutting-edge area in artificial intelligence, combining various modalities of data such as text, ...
Liquid AI Introduces Liquid Foundation Models (LFM) – A 1B, 3B, and 40B Series of Generative AI Models
Liquid ai has launched its ai/liquid-foundation-models">First series of liquid base models (LFM)ushering in a new generation of generative ai models. ...
Fine-Tuning Vision Language Models (VLMs) for Data Extraction
Note that this is the 3rd and final article in the series of VLMs for data extraction. You can find ...
Speculative streaming: fast LLM inference without auxiliary models
Speculative decoding is a prominent technique for accelerating the inference of a large target language model based on predictions from ...
Microsoft Researchers Introduce RadEdit: Biomedical Vision Models for Stress Testing Using Diffusion Image Editing to Remove Dataset Bias
Biomedical vision models are increasingly used in clinical settings, but a major challenge is their inability to generalize effectively due ...
