Tapping into Creativity - The Challenge of Activating Imagination in AI
Creativity - the spark of human imagination - remains AI's final frontier. Unlocking true innovation in machines requires blazing new inroads into uncharted conceptual space.
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Statistical or Sentient Part 2- Tokens and Thoughts
What drives the eerily human-like capabilities of large language models like GPT-3? Their artificial "minds" operate on a simple principle - predicting the next most likely token. Understanding these basic mechanics provides the key to unlocking their full potential through prompt engineering.
Measuring How Much Leading AI Chatbots Hallucinate
Vectara recently introduced a unique leaderboard that ranks AI chatbots based on how well they avoid 'hallucinations.' Find out which AI comes out on top and why it matters!
Optimizing Large Language Models to Maximize Performance
Getting the most out of large language models requires the artful application of optimization techniques like prompt engineering, retrieval augmentation, and fine-tuning. This guide explores proven methods for maximizing LLM performance.
Leveraging Associative Memory in AI for Effective Prompt Engineering
Your brain's magic memory has more in common with ChatGPT than you may think! Let's explore the surprising parallels between human and AI intelligence.
SLiCK: A Framework for Understanding Large Language Models
Peek under the hood of LLMs with SLiCK- a conceptual framework that segments AI operations into distinct components, shedding light on the inner workings of these complex "black box" systems.