Alibaba's Qwen3 Embedding Models: A New AI Era
Alibaba's Qwen3 Embedding models advance text understanding, multilingual support, and code retrieval, marking a new chapter in AI innovation.
Tag: RAG
Alibaba's Qwen3: Multilingual Embedding & Ranking
Alibaba's Qwen3 models redefine multilingual text embedding and ranking, offering versatility and high performance across 119 languages.
Codestral Embed: Revolutionizing Code Understanding
Mistral AI's Codestral Embed redefines code interaction, offering retrieval, semantic analysis, and enhancing developer workflows.
Unlocking LLM Commercial Potential: 3 Strategies
Explore three strategic approaches to harness the commercial potential of Large Language Models (LLMs): Prompting, Retrieval-Augmented Generation (RAG), and Instruction Fine-Tuning, enabling businesses to streamline operations and drive innovation.
Telkomsel & Perplexity: AI Access for Indonesia
Telkomsel partners with Perplexity Pro to democratize AI access in Indonesia. The bundle offers affordable AI-powered search, benefiting education, healthcare and SMEs.
DeepSeek-R1: AI in Diagnostics and Medicine?
Explores DeepSeek-R1's potential to transform diagnostics, personalize treatments, and enhance medical research. It addresses challenges for responsible implementation.
Building Multimodal RAG Apps: Amazon Bedrock Data Automation
Explore building multimodal RAG apps with Amazon Bedrock Data Automation and Knowledge Bases. Process diverse data formats for enhanced insights.
Gemma 3n: On-Device AI with RAG and Function Calling
Google's Gemma 3n brings multimodal AI to devices, featuring RAG, function calling, and customization using AI Edge SDKs. It enables efficient on-device inference.
Generative AI Copyright Fight: News Publishers Sue Cohere
News publishers are suing Cohere over copyright infringement related to its use of Retrieval-Augmented Generation (RAG) technology.
AI Anxiety of Chinese Law Firms in DeepSeek Era
Explore how Chinese law firms are addressing AI anxiety in the DeepSeek era. The integration of DeepSeek in legal services presents opportunities and challenges.