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CATEGORY: llm


Sep 02, 2024 02:15

TEAL Introduces Training-Free Activation Sparsity to Boost LLM Efficiency


TEAL offers a training-free approach to activation sparsity, significantly enhancing the efficiency of large language models (LLMs) with minimal degradation. (Read More)

Aug 10, 2024 02:15

LangGraph v0.2 Enhances Customization with New Checkpointer Libraries


LangGraph v0.2 introduces new checkpointer libraries, including SQLite and Postgres options, to enhance customization and resilience in LLM applications. (Read More)

Aug 09, 2024 02:15

Circle and Berkeley Utilize AI for Blockchain Transactions with TXT2TXN


Circle and Blockchain at Berkeley introduce TXT2TXN, an AI-driven tool using Large Language Models to simplify blockchain transactions through intent-based applications. (Read More)

Aug 07, 2024 02:15

NVIDIA TensorRT-LLM Boosts Hebrew LLM Performance


NVIDIA's TensorRT-LLM and Triton Inference Server optimize performance for Hebrew large language models, overcoming unique linguistic challenges. (Read More)

Aug 07, 2024 02:15

LangSmith Enhances LLM Apps with Dynamic Few-Shot Examples


LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input. (Read More)

Sep 01, 2024 02:15

AMD Radeon PRO GPUs and ROCm Software Expand LLM Inference Capabilities


AMD's Radeon PRO GPUs and ROCm software enable small enterprises to leverage advanced AI tools, including Meta's Llama models, for various business applications. (Read More)

Aug 04, 2024 02:15

Character.AI Enters Agreement with Google, Announces Leadership Changes


Character.AI announces a strategic agreement with Google and key leadership changes to accelerate the development of personalized AI products. (Read More)

Aug 30, 2024 02:15

NVIDIA's Blackwell Platform Breaks New Records in MLPerf Inference v4.1


NVIDIA's Blackwell architecture sets new benchmarks in MLPerf Inference v4.1, showcasing significant performance improvements in LLM inference. (Read More)

 OpenAI supports California bill on marking AI content  Report

Author: Cointelegraph by Helen Partz
United States
Aug 29, 2024 12:00

OpenAI supports California bill on marking AI content Report

After previously opposing another AI-related bill, SB 1047, OpenAI has expressed support for AB 3211, which would require watermarks on AI-generated content.

Aug 28, 2024 02:15

MIT Research Unveils AI's Potential in Safeguarding Critical Infrastructure


MIT's new study reveals how large language models (LLMs) can efficiently detect anomalies in critical infrastructure systems, offering a plug-and-play solution. (Read More)

Aug 24, 2024 02:15

AI21 Labs Unveils Jamba 1.5 LLMs with Hybrid Architecture for Enhanced Reasoning


AI21 Labs introduces Jamba 1.5, a new family of large language models leveraging hybrid architecture for superior reasoning and long context handling. (Read More)

Aug 23, 2024 02:15

Understanding Decoding Strategies in Large Language Models (LLMs)


Explore how Large Language Models (LLMs) choose the next word using decoding strategies. Learn about different methods like greedy search, beam search, and more. (Read More)

Aug 23, 2024 02:15

Anyscale Explores Direct Preference Optimization Using Synthetic Data


Anyscale's latest blog post delves into Direct Preference Optimization (DPO) with synthetic data, highlighting its methodology and applications in tuning language models. (Read More)

Aug 23, 2024 02:15

Strategies to Optimize Large Language Model (LLM) Inference Performance


NVIDIA experts share strategies to optimize large language model (LLM) inference performance, focusing on hardware sizing, resource optimization, and deployment methods. (Read More)

Aug 17, 2024 02:15

NVIDIA NIM Microservices Enhance LLM Inference Efficiency at Scale


NVIDIA NIM microservices optimize throughput and latency for large language models, improving efficiency and user experience for AI applications. (Read More)

Aug 17, 2024 02:15

NVIDIA Unveils Pruning and Distillation Techniques for Efficient LLMs


NVIDIA introduces structured pruning and distillation methods to create efficient language models, significantly reducing resource demands while maintaining performance. (Read More)

Aug 02, 2024 02:15

NVIDIA Introduces Efficient Fine-Tuning with NeMo Curator for Custom LLM Datasets


NVIDIA's NeMo Curator offers a streamlined method for fine-tuning large language models (LLMs) with custom datasets, enhancing machine learning workflows. (Read More)

Jul 10, 2024 02:15

NVIDIA NIM Enhances Multilingual LLM Deployment


NVIDIA NIM introduces support for multilingual large language models, improving global business communication and efficiency with LoRA-tuned adapters. (Read More)

Jul 10, 2024 02:15

AssemblyAI Enhances Speech AI Capabilities with LLM Integrations


AssemblyAI introduces new features and integrations with LangChain, LlamaIndex, and Twilio to enhance speech AI applications using Large Language Models (LLMs). (Read More)

Jul 10, 2024 02:15

WordSmith Enhances Legal AI Operations with LangSmith Integration


WordSmith leverages LangSmith for prototyping, debugging, and evaluating LLM performance, enhancing operations for in-house legal teams. (Read More)

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