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#chatbots

Every item tagged chatbots, newest first.

3 items

Customized to user?

The customization in AI models like ChatGPT comes from techniques such as fine-tuning and retrieval-augmented generation. These methods allow the model to incorporate user-specific data and past conversations into its responses. The model connects to old chats through contextual understanding and memory mechanisms. This enables the AI to intelligently use past ideas in new conversations.

Key takeaways
  • Fine-tuning and retrieval-augmented generation enable customization.
  • Contextual understanding and memory mechanisms connect to past chats.
  • Past ideas are intelligently used in new conversations.

ChatGPT's market share slips below 50% for first time

ChatGPT's market share dropped to 46.4% by May 2024, per Sensor Tower data, as competition from Google and Anthropic intensified. Despite this, ChatGPT remains the largest player with 1.1 billion monthly active users on mobile. Builders should note the shift towards a more fragmented market. This change may impact strategy for those integrating ChatGPT into their products.

Key takeaways
  • ChatGPT's market share below 50% for first time: 46.4%.
  • Still largest player with 1.1B monthly active users on mobile.
  • Competition from Google and Anthropic driving fragmentation.
modelsMar 20

A Chatbot on your Laptop: Phi-2 on Intel Meteor Lake

Hugging Face has demonstrated Phi-2, a chatbot model, running on Intel Meteor Lake laptops. This achievement enables local deployment of capable chatbots without relying on cloud APIs. Phi-2's performance on Meteor Lake hardware indicates potential for widespread adoption of local AI models. The development targets builders who want to integrate AI capabilities into their applications without cloud dependencies.

Key takeaways
  • Phi-2 chatbot model runs on Intel Meteor Lake laptops.
  • Local deployment enables offline chatbot functionality.
  • Potential for widespread adoption of local AI models.