So buckle up, data enthusiasts. We’re about to dive into a world where AI thinks as fast as we do, where machines don’t just learn from the past but actively engage with the present. Welcome to the real-time revolution – a journey that’s reshaping the very foundations of artificial intelligence as we know it.
Traditional AI models, including large language models (LLMs) from OpenAI, Anthropic, and others, are trained on vast amounts of historical data. While this approach has yielded impressive results, it south africa rcs data comes with a significant limitation: the potential for outdated or irrelevant outputs.
If you only train your AI on historical data, the AI model can spit out the wrong answer as a “hallucination.” It’s as if these models are stuck quoting movies from the ’90s – entertaining, perhaps, but not exactly cutting-edge. This phenomenon occurs because the training data may not reflect current reality or domain-specific knowledge, leading to responses that are inaccurate or outdated.
Streaming Data: The Firehose of Truth
Enter streaming data – the continuous flow of information from various sources in real time. By integrating streaming data into AI systems, we can create models that are not just knowledgeable, but also current and contextually aware.