The Curious Case of LLM Hallucination: Causes and Tips to Reduce its RisksLearn everything about hallucinations in LLMs. Discover their types and causes along with strategies for how to detect and reduce them in your models.Hiren Dhaduk 6 mins read 26 Oct, 2023 Table...
Based on my personal experience, I think defining how we would like to interface with the LLM is a good starting point since it will already reduce the number of models - and variants - available. The second aspect to consider is the objective task that the model will carry out: generic ...
Chain-of-thought (CoT) prompting elicits the model to “think step by step” or otherwise break down its inferencing process into logical units. Just as humans can improve decision-making and accuracy by thinking methodically, LLMs can show gains in accuracy...
However, as the adoption of generative AI accelerates, companies will need to fine-tune their Large Language Models (LLM) using their own data sets to maximize the value of the technology and address their unique needs. There is an opportunity for organizations to leverage their Content Knowledge...
Then, data must be cleaned and preprocessed to make it suitable for training the model. It often involves removing irrelevant content, correcting errors, and formatting. It's crucial to guarantee the quality and diversity of the data to avoid biases. It also helps to ensure the LLM's applicab...
Large language models (LLMs) have generated excitement worldwide due to their ability to understand and process human language at a scale that is unprecedented.
Three strategies to reduce the cost of using GPT-4 and ChatGPT Prompt adaptation All LLM APIs have a pricing model that is a function of the prompt length. Therefore, the simplest way to reduce the costs of API usage is to shorten your prompts. There are several ways to do so. ...
You also need to know whether your system has a discrete GPU or relies on its CPU's integrated graphics. Plenty of open-source LLMs can run solely on your CPU and system memory, but most are made to leverage the processing power of a dedicated graphics chip and its extra video RAM.Gami...
Bias is the biggest training issue with ML models. The challenge for developers and data scientists is to try and reduce training bias to near-zero. Completely eliminating bias might be impossible, but reducing bias as much as possible is critical. ...
To reduce hallucinations about unknown categories, we can make a small change to our prompt. Let’s add the following text: If a user asks about another category respond: "I can only generate quizzes for Art, Science, or Geography" Here’s the complete updated prompt: Write a quiz for...