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could-llms-help-design-our-next-medicines-and-materials?

Could LLMs help design our next medicines and materials?

Source: MIT News – Artificial intelligence The process of discovering molecules that have the properties needed to create...
Apr 9, 2025
this-ai-paper-from-bytedance-introduces-megascale-infer:-a-disaggregated-expert-parallelism-system-for-efficient-and-scalable-moe-based-llm-serving

This AI Paper from ByteDance Introduces MegaScale-Infer: A Disaggregated Expert Parallelism System for Efficient and Scalable MoE-Based LLM Serving

Source: MarkTechPost Large language models are built on transformer architectures and power applications like chat, code generation, and...
Apr 9, 2025
a-code-implementation-to-use-ollama-through-google-colab-and-building-a-local-rag-pipeline-on-using-deepseek-r1-1.5b-through-ollama,-langchain,-faiss,-and-chromadb-for-q&a

A Code Implementation to Use Ollama through Google Colab and Building a Local RAG Pipeline on Using DeepSeek-R1 1.5B through Ollama, LangChain, FAISS, and ChromaDB for Q&A

Source: MarkTechPost In this tutorial, we’ll build a fully functional Retrieval-Augmented Generation (RAG) pipeline using open-source tools that...
Apr 8, 2025
this-ai-paper-introduces-inference-time-scaling-techniques:-microsoft’s-deep-evaluation-of-reasoning-models-on-complex-tasks

This AI Paper Introduces Inference-Time Scaling Techniques: Microsoft’s Deep Evaluation of Reasoning Models on Complex Tasks

Source: MarkTechPost Large language models are often praised for their linguistic fluency, but a growing area of focus...
Apr 8, 2025
scalable-and-principled-reward-modeling-for-llms:-enhancing-generalist-reward-models-rms-with-spct-and-inference-time-optimization

Scalable and Principled Reward Modeling for LLMs: Enhancing Generalist Reward Models RMs with SPCT and Inference-Time Optimization

Source: MarkTechPost Reinforcement Learning RL has become a widely used post-training method for LLMs, enhancing capabilities like human...
Apr 7, 2025
transformer-meets-diffusion:-how-the-transfusion-architecture-empowers-gpt-4o’s-creativity

Transformer Meets Diffusion: How the Transfusion Architecture Empowers GPT-4o’s Creativity

Source: MarkTechPost OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent...
Apr 6, 2025
this-ai-paper-from-anthropic-introduces-attribution-graphs:-a-new-interpretability-method-to-trace-internal-reasoning-in-claude-3.5-haiku

This AI Paper from Anthropic Introduces Attribution Graphs: A New Interpretability Method to Trace Internal Reasoning in Claude 3.5 Haiku

Source: MarkTechPost While the outputs of large language models (LLMs) appear coherent and useful, the underlying mechanisms guiding...
Apr 6, 2025
anthropic’s-evaluation-of-chain-of-thought-faithfulness:-investigating-hidden-reasoning,-reward-hacks,-and-the-limitations-of-verbal-ai-transparency-in-reasoning-models

Anthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of Verbal AI Transparency in Reasoning Models

Source: MarkTechPost A key advancement in AI capabilities is the development and use of chain-of-thought (CoT) reasoning, where...
Apr 6, 2025
reducto-ai-released-rolmocr:-a-sota-ocr-model-built-on-qwen-25-vl,-fully-open-source-and-apache-2.0-licensed-for-advanced-document-understanding

Reducto AI Released RolmOCR: A SoTA OCR Model Built on Qwen 2.5 VL, Fully Open-Source and Apache 2.0 Licensed for Advanced Document Understanding

Source: MarkTechPost Optical Character Recognition (OCR) has long been a cornerstone of document digitization, enabling the transformation of...
Apr 6, 2025
scalable-reinforcement-learning-with-verifiable-rewards:-generative-reward-modeling-for-unstructured,-multi-domain-tasks

Scalable Reinforcement Learning with Verifiable Rewards: Generative Reward Modeling for Unstructured, Multi-Domain Tasks

Source: MarkTechPost Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs’ reasoning and coding abilities,...
Apr 5, 2025
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