NEWSLETTER
AMD LOTES INSSTELLA: A series of parameter language model 3b of open origin
In the digital panorama in rapid current evolution, the need for accessible and efficient language models is increasingly evident. Traditional ...
Tag: Parameter
Evola: An 80B Parameter Multimodal Protein Language Model for Decoding Protein Functions Using Natural Language Dialogue
Proteins, essential molecular machines evolved over billions of years, perform critical life-sustaining functions encoded in their sequences and revealed through ...
YuLan-Mini: A 2.42 Billion Parameter Open Data Efficient Language Model with Long Context Capabilities and Advanced Training Techniques
Large language models (LLMs) built using transformative architectures rely heavily on pre-training with large-scale data to predict sequential tokens. This ...
DeepSeek-VL2 Series Open Source DeepSeek-AI: Three Parameter Models 3B, 16B and 27B with Mixture of Experts (MoE) Architecture Redefining Vision Language AI
The integration of vision and language capabilities in ai has led to advances in vision-language models (VLM). These models aim ...
PRIME Intellect launches INTELLECT-1 (Instruct + Base) – the world's first collaboratively trained 10B parameter language model
In recent years, the evolution of artificial intelligence has generated increasingly sophisticated large language models (LLM). However, training these models ...
Microsoft Researchers Present Novel Implementation of MH-MoE: Achieving FLOP and Parameter Parity with Sparse Expert Mixture Models
Machine learning is advancing rapidly, particularly in areas that require extensive data processing, such as natural language understanding and generative ...
Efficient source-free time series fitting via parameter subspace disentangling
The growing demand for personalized and private applications on devices highlights the importance of sourceless unsupervised domain adaptation (SFDA) methods, ...
Salesforce AI Research introduced SFR-RAG: a 9 billion parameter model that revolutionizes contextual accuracy and efficiency in augmented generation information retrieval frameworks
Generative ai has emerged as a pivotal field with the rise of large language models (LLMs). These models are capable ...
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 ...
Sarvam AI releases Samvaad-Hi-v1 and Sarvam-2B dataset: a 2 billion parameter language model with 4 trillion tokens focused on 10 Indic languages for improved natural language processing
Sarvam ai has recently introduced its cutting-edge language model, Sarvam-2BThis powerful model, boasting 2 billion parameters, represents a significant advancement ...
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