Why do LLMs hallucinate? LLM hallucination occurs because the model's primary objective is to generate text that is coherent and contextually appropriate, rather than factually accurate. The model's training data may contain inaccuracies, inconsistencies, and fictional content, and the model has no...
Less than two years ago, cognitive and computer scientist Douglas Hofstadterdemonstrated how easy it was to make AI hallucinatewhen he asked a nonsensical question and OpenAI's GPT-3 replied, "The Golden Gate Bridge was transported for the second time across Egypt in October of 2016." Now, ...
AI hallucinations refer to the false, incorrect or misleading results generated by AI LLMs or computer vision systems. They are usually the result of using a small dataset to train the model resulting in insufficient training data, or inherent biases in the training data. Regardless of the under...
How often do AI chatbots hallucinate? It’s challenging to determine the exact frequency of AI hallucinations. The rate varies widely based on the model or context in which the AI tools are used. One estimate from Vectara, an AI startup, suggests chatbots hallucinate anywhere between 3 perce...
In my testing, I've consistently found Llama 3 models to be a big step up from Llama 2. I couldn't get them to hallucinate or just make things up anywhere near as easily. While Meta AI isn't yet replacing ChatGPT for me, the core models are some of the best in the world, and...
transcription into bullet points so that if you can't listen to a voice message, you can see what was said and still be able to reply. LLMs hallucinate, but the transcription is readily available, so you can sanity-check anything in the voice message from the transcription if you need ...
4. Datasets for training LLMs Creating datasets for training LLMs is a time-consuming and challenging process. If the data isn't accurate, up-to-date, and relevant to the purpose for which the LLM is being trained, it will hallucinate fake answers. That's whyscraping data for generative ...
While agents based on LLMs are still prone to hallucinate, one solution is to tightly scope what’s asked of them. Another approach, as seen in the Smallville experiment, is to assign one agent to assess the work of another, which, at scale, can mitigate the effects of a few rogue act...
Right now AI systems regularly mess up, or “hallucinate” in ways that keep the mask slipping. But as the illusion of justification becomes more convincing, one of two things will happen. For those who understand that true AI content is one big Gettier case, an LLM’s patently false claim...
Recently, Microsoft employee Mikhail Parakhin, who works on Bing Chat, tweeted about Bing Chat's tendency to hallucinate and what causes it. "This is what I tried to explain previously: hallucinations = creativity," he wrote. "It tries to produce the highest probabilit...