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Building & securing AI agents: A tech leader crash courseByRicardoThe AI revolution is racing beyond chatbots to autonomous agents that act, decide, and interface with internal systems. Unlike traditional software, AI agents can be manipulated through language, making them vulnerable to attacks like prompt injection and they also introduce new security risks like excessive agency. Join us for an exclusive deep dive with Sourabh…
Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI
ByRicardoOrganizations are adopting large language models (LLMs), such as DeepSeek R1, to transform business processes, enhance customer experiences, and drive innovation at unprecedented speed. However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data. Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI,…
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…
- 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…
