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- Agentic AI Defined: Use Cases & Cogito Tech’s Data SolutionsByRicardo
The increasing role of foundational models in boosting AI agents has fueled the growth by simplifying multi-step tasks beyond traditional AI’s capabilities. Foundational models, such as large language models (LLMs), provide AI agents with advanced reasoning, planning, and language understanding capabilities. This enables agents to autonomously break down, interpret, and execute complex tasks that previously…
Google Research at Google I/O 2025
ByRicardoClimate & Sustainability
The Art and Science of Fine-Tuning LLMs for Domain-Specific Excellence
ByRicardoKey advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models…
The implications of AGI: What comes after the era of LLMs
ByRicardoWhat occurs when our machines start to grasp us as naturally as we perceive one another? That’s not a query for the future – it’s one we’re dwelling by proper now. Training in the present day’s large language models already prices upwards of $100 million. Just final yr, two Nobel Prizes have been awarded for…
