Hamming AI: Revolutionizing Prompt Engineering and AI Agent Reliability
Implementing Retrieval-Augmented Generation (RAG) and AI agents can be a complex and intricate process. The performance of a Language Learning Model (LLM) can vary significantly with minor adjustments to parameters like function call definitions or retrieval settings. Hand-crafting prompts often involve extensive trial and error, and updates to models can render previously effective prompts useless.…
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Google I/O 2024: Gemini 1.5 & the Human Face of AI Innovation
Google I/O 2024 was a whirlwind of AI announcements, solidifying Google’s commitment to making artificial intelligence an integral part of our digital lives. While some may argue that OpenAI’s recent revelations stole the spotlight, the sheer breadth of Google’s AI integration across its product ecosystem is undeniable. Gemini 1.5: Redefining Conversational AI with Unprecedented Contextual…
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