Improving reinforcement learning from human feedback with criticism-generated reward models
Language models have gained prominence in reinforcement learning from human feedback (RLHF), but current reward modeling approaches face challenges in ...
Tag: models
AI21 Labs has launched the Jamba 1.5 family of open models: Jamba 1.5 Mini and Jamba 1.5 Large, redefining long-context AI with unmatched speed, quality, and multilingual capabilities for global enterprises.
AI21 Labs has taken a major step into the ai landscape by launching the Jamba 1.5 Open Model Familywhich includes ...
Smooth processing of two-hour videos: This AI paper introduces LONGVILA, a breakthrough in deep context visual language models for long videos
The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand ...
Fine-tune Meta Llama 3.1 models for generative AI inference using Amazon SageMaker JumpStart
Fine-tuning Meta Llama 3.1 models with amazon SageMaker JumpStart enables developers to customize these publicly available foundation models (FMs). The ...
DaRec: A new plug-and-play alignment framework for LLM and collaborative models
Recommender systems have gained prominence in various applications, with deep neural network-based algorithms displaying impressive capabilities. Large language models (LLMs) ...
Formatron – A high-performance Python constrained decoding library that allows users to control the output format of language models with minimal overhead
Language models (LMs), while highly effective at generating human-like text, often produce unstructured and inconsistent results. The lack of structure ...
Salesforce AI Research Introduces xGen-MM (BLIP-3): A Scalable AI Framework for Powering Large Multimodal Models with Enhanced Training and Performance Capabilities
Large multimodal models (LMMs) are rapidly advancing, driven by the need to develop ai systems capable of processing and generating ...
Understanding hallucination rates in language models: Insights from knowledge graph training and its detectability challenges
Language models (LMs) show better performance with larger training data and size, but the relationship between model scale and hallucinations ...
Marqo launches Marqo-FashionCLIP and Marqo-FashionSigLIP: a family of integration models for e-commerce and retail
When it comes to fashion search and recommendation algorithms, multimodal techniques fuse textual and visual data to achieve greater accuracy ...
DeepSeek-AI Open-Sources DeepSeek-Prover-V1.5: A 7 Billion Parameter Language Model Outperforms All Open Source Models in Formal Theorem Proving in Lean 4
Large language models (LLMs) have made significant advances in mathematical reasoning and theorem proving, but they face considerable challenges in ...
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