All Updates

All Updates

icon
Filter
Product updates
Perplexity AI announces updates to AI search and coding capabilities
Generative AI Applications
Aug 25, 2023
This week:
M&A
N-able acquires Adlumin for USD 266 million to strengthen cybersecurity offerings
Next-gen Cybersecurity
Today
M&A
Bitsight acquires Cybersixgill for USD 115 million to enhance threat intelligence capabilities
Cyber Insurance
Today
M&A
Snowflake acquires Datavolo to enhance data integration capabilities for undisclosed sum
Generative AI Infrastructure
Today
M&A
Snowflake acquires Datavolo to enhance data integration capabilities for undisclosed sum
Data Infrastructure & Analytics
Today
M&A
Almanac acquires Gro Intelligence's IP assets for undisclosed sum
Smart Farming
Yesterday
Partnerships
Aduro Clean Technologies partners with Zeton to build hydrochemolytic pilot plant
Waste Recovery & Management Tech
Yesterday
Funding
Oishii raises USD 16 million in Series B funding from Resilience Reserve
Vertical Farming
Yesterday
Management news
GrowUp Farms appoints Mike Hedges as CEO
Vertical Farming
Yesterday
M&A
Rise Up acquires Yunoo and expands LMS monetization capabilities
EdTech: Corporate Learning
Yesterday
Product updates
Uber releases five new features for holiday travel season
Travel Tech
Yesterday
Generative AI Applications

Generative AI Applications

Aug 25, 2023

Perplexity AI announces updates to AI search and coding capabilities

Product updates

  • Perplexity AI, a provider of a GenAI conversational platform, announced enhancements to its Copilot feature, incorporating OpenAI's GPT-3.5 Turbo fine-tuning from OpenAI and introducing Code Llama to Perplexity's LLaMa Chat.

  • With this, Perplexity users gain additional capabilities, including uploading PDF files, refining search results based on specific sources, and setting up personalized AI profiles for tailored search outcomes. Further, Code LLaMA integrates Meta AI's coding LLM to enhance responses to technical questions. Users can utilize the open-source LLM to generate code functions or clarify code sections. 

  • The shift to the fine-tuned GPT-3.5 model also brings about potential savings in inference costs to the company, the computational resources needed for making predictions using a trained machine-learning model.

Contact us

Gain access to all industry hubs, market maps, research tools, and more
Get a demo
arrow
menuarrow

By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.