What to Know:
– Perplexity has announced updates to its AI-assisted search capabilities.
– The updates include the integration of GPT-3.5 Turbo fine-tuning, which improves the accuracy and relevance of search results.
– Perplexity is also providing access to Code Llama, an open-source language model (LLM) developed by Meta for coding assistance.
The Full Story:
Perplexity, a leading provider of AI-powered search solutions, has recently announced updates to its AI-assisted search capabilities. These updates aim to enhance the accuracy and relevance of search results, providing users with more precise information.
One of the key updates is the integration of GPT-3.5 Turbo fine-tuning. GPT-3.5 Turbo is an advanced language model developed by OpenAI. It is designed to generate human-like text and has been fine-tuned specifically for search applications. By incorporating GPT-3.5 Turbo fine-tuning into its AI-assisted search, Perplexity aims to deliver more accurate and contextually relevant search results to users.
The integration of GPT-3.5 Turbo fine-tuning allows Perplexity’s AI search to understand and interpret user queries more effectively. It can generate more accurate responses by considering the context and intent behind the search query. This helps users find the information they are looking for more efficiently.
In addition to the GPT-3.5 Turbo fine-tuning, Perplexity has also announced access to Code Llama, an open-source language model (LLM) developed by Meta. Code Llama is specifically designed to assist developers with coding tasks. It can provide code suggestions, help with debugging, and offer explanations for programming concepts.
By providing access to Code Llama, Perplexity aims to enhance the coding experience for developers using its AI-assisted search. Developers can now leverage the power of Code Llama to get coding assistance and guidance directly within the search interface. This can help them save time and improve their productivity by having access to relevant code examples and explanations.
Perplexity’s AI-assisted search capabilities have already been adopted by various industries, including e-commerce, customer support, and knowledge management. The integration of GPT-3.5 Turbo fine-tuning and access to Code Llama further strengthens Perplexity’s position as a leading provider of AI-powered search solutions.
According to Perplexity, the updates to its AI-assisted search capabilities have resulted in significant improvements in search accuracy and relevance. In internal testing, the fine-tuned GPT-3.5 Turbo model achieved a 20% reduction in irrelevant search results compared to the previous version. This demonstrates the effectiveness of the fine-tuning process in improving the quality of search results.
The integration of Code Llama has also been well-received by developers. It provides them with a powerful tool for coding assistance, allowing them to find relevant code examples and explanations quickly. This can be particularly beneficial for developers who are new to a programming language or need help with complex coding tasks.
Perplexity’s AI-assisted search capabilities continue to evolve and improve, thanks to advancements in natural language processing and machine learning. The integration of GPT-3.5 Turbo fine-tuning and access to Code Llama are just the latest updates in Perplexity’s ongoing efforts to provide users with the most accurate and relevant search results.
In conclusion, Perplexity’s recent announcements regarding updates to its AI-assisted search capabilities are significant for both users and developers. The integration of GPT-3.5 Turbo fine-tuning improves the accuracy and relevance of search results, while access to Code Llama enhances the coding experience for developers. These updates further solidify Perplexity’s position as a leading provider of AI-powered search solutions.
Original article: https://www.searchenginejournal.com/perplexity-announces-ai-search-updates-code-llama-chat/494838/