Codestral Mamba: NVIDIA’s Next-Gen Coding LLM Revolutionizes Code Completion
NVIDIA’s Codestral Mamba, built on Mamba-2 architecture, revolutionizes code completion with advanced AI, enabling superior coding efficiency. (Read More)
Bitfinex Rolls Out Mobile App Version 6.22.0 with Key Improvements and Fixes
Bitfinex has released Version 6.22.0 of its mobile app, featuring notable improvements and fixes for enhanced user experience. (Read More)
Meta Unveils Llama 3.1: Enhanced AI Models with Multilingual Support
Meta introduces Llama 3.1, featuring expanded context length and support across eight languages, including the pioneering 405B open-source AI model. (Read More)
El Tor Enhances Tor Network with High-Bandwidth Bitcoin Lightning Integration
El Tor leverages Bitcoin Lightning Network to boost Tor’s bandwidth, security, and decentralization. Users earn Satoshis by hosting Tor relays. Future plans include expanding the Directory Server and launching a testnet. (Read More)
Key Insights on Decentralized Social Networks from Mask Network and Lens Protocol
Mask Network’s Suji Yan and Lens Protocol’s Stani Kulechov discuss the future of decentralized social networks at ETHCC. (Read More)
IBM Research Leverages AI to Modernize Aging Codebases
IBM Research is employing AI to automate programming and refactoring, aiding enterprises in modernizing their software stacks. (Read More)
IBM Research Advances Natural Language Processing Capabilities
IBM Research is developing advanced AI systems to parse and unlock data from vast bodies of text, enhancing enterprise transformation. (Read More)
Polygon (MATIC) CDK Integrates Bridged USDC Standard for Enhanced Stability
Polygon (MATIC) CDK is the first chain development kit to integrate Circle’s Bridged USDC Standard, offering seamless upgrades and improved liquidity. (Read More)
Fireblocks Introduces Self-Service Tools to Empower Blockchain Startups
Fireblocks launches a suite of self-service tools to help blockchain startups innovate quickly and securely. (Read More)
Enhancing LLM Tool-Calling Performance with Few-Shot Prompting
LangChain’s experiments reveal how few-shot prompting significantly boosts LLM tool-calling accuracy, especially for complex tasks. (Read More)