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Welcome at World Crypto Global. This portal is packed with useful content and resources to built out your own crypto skills. WorldCrypto is a site member of Gabriel Vega Network.
Learn how to build efficient recommender systems using co-visitation matrices and RAPIDS cuDF for faster data processing and improved personalization. (Read More)
OpenAI launches fine-tuning for GPT-4o, allowing users to customize and improve model performance and accuracy for specific applications. (Read More)
GitHub introduces GitHub Models, enabling developers to leverage industry-leading AI models directly on the platform. (Read More)
NVIDIA releases TensorRT Model Optimizer v0.15, offering enhanced inference performance through new features like cache diffusion and expanded AI model support. (Read More)
NVIDIA introduces structured pruning and distillation methods to create efficient language models, significantly reducing resource demands while maintaining performance. (Read More)
NVIDIA's Graduate Fellowship Program is now accepting applications, offering up to $60,000 for doctoral students in AI, machine learning, and more. (Read More)
Join Ray Training Day on September 30, 2024, in San Francisco for a comprehensive training session on GenAI and LLMs led by Ray experts. (Read More)
NVIDIA introduces re-ranking to improve the precision and relevance of AI-driven enterprise search results, enhancing RAG pipelines and semantic search. (Read More)
PyTorch, the deep-learning framework, is significantly enhancing AI accessibility for developers, backed by AMD's robust hardware support. (Read More)
With the vast popularity of Shiba Inu in the crypto space and millions of investors holding the SHIB token, the direction of the price has always been an interesting and hotly debated topic. Expectations are that the meme coin will continue to rise drastically as theme coins become some of the frontrunners of the crypto [...]
The post Machine Learning Algorithm Predicts Shiba Inu Price Will Rise 119% In 5 Days appeared first on Crypto Breaking News.
Llama-3 fine-tuning demonstrates significant performance gains, achieving 90% of GPT-4's accuracy at a fraction of the cost, according to together.ai. (Read More)
NVIDIA introduces AutoMate, a framework that enhances robotic assembly skills across diverse geometries, demonstrating zero-shot sim-to-real transfer capabilities. (Read More)
NVIDIA NIM eases deployment of LoRA adapters, optimizing large language model customization and performance. (Read More)
Former OpenAI researcher Leopold Aschenbrenner is confident that an AI lab will be able to train a GPT-4-level model in a minute in 2027, versus three months in 2023.
NVIDIA has integrated Federated XGBoost with FLARE, boosting machine learning productivity by enabling concurrent experiments, fault tolerance, and enhanced tracking. (Read More)
NVIDIA introduces DoRA, a robust alternative to LoRA, enhancing AI model fine-tuning without additional inference costs. (Read More)
LangChain's new self-improving evaluators for LLM-as-a-Judge aim to align AI outputs with human preferences, leveraging few-shot learning and user feedback. (Read More)
Arbitrum users can now predict Ether price movements with PancakeSwaps AI-powered market, leveraging Alloras machine-learning data for accuracy.
TiTok AI, a new method for efficient onchain image compression, could be a useful tool for blockchain applications.
The mobile app and plug-in will use invisible watermarks and leverage the Aptos blockchain to ensure digital property rights regardless of where content is hosted.
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