Free Gemini users can finally chat in a flash

by | Jul 25, 2024 | Technology

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Google made several updates to the free version of its Gemini chatbot, including making its low-latency multimodal model Gemini 1.5 Flash available and adding more source links to reduce hallucinations.  

Gemini 1.5 Flash, previously only available to developers, is best suited for tasks requiring quick responses, such as answering customer queries. Google announced the model during its annual developer conference, Google I/O, in May but has since opened it up to the public. 

The model has a large context window, referring to how much information or words it processes at a time, of around 1 million tokens. Google said Gemini 1.5 Flash on the Gemini chatbot will have a context window of 32K tokens. A large context window allows for more complex questions and longer back-and-forth conversations. 

To take advantage of this, Google is updating the free version of Gemini to handle file uploads from Google Drive or devices. This has been a feature in Gemini Advanced, the paid version of the chatbot. 

When it first launched, Google claimed Gemini 1.5 Flash was 40% faster than OpenAI’s fast model GPT-3.5 Turbo. Gemini 1.5 Flash is not a small model like the Gemma family of Google models; instead, it is trained with the same data as Gemini 1.5 Pro. 

Gemini 1.5 Flash will be available on both mobile and desktop versions of Gemini. It can be accessed in more than 230 countries and territories and in 40 languages.

Reducing hallucinations with links 

Hallucinations continue to be a problem for AI models. Google is following the lead of other model providers and chatbots by adding related links to prompts asking for information. The idea is to show the AI models did not create the information without reference. 

“Starting today for English language prompts in certain countries, you can access this additional information on topics directly within Gemini’s responses. Just click on the chip at the end of a p …

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More

Google made several updates to the free version of its Gemini chatbot, including making its low-latency multimodal model Gemini 1.5 Flash available and adding more source links to reduce hallucinations.  

Gemini 1.5 Flash, previously only available to developers, is best suited for tasks requiring quick responses, such as answering customer queries. Google announced the model during its annual developer conference, Google I/O, in May but has since opened it up to the public. 

The model has a large context window, referring to how much information or words it processes at a time, of around 1 million tokens. Google said Gemini 1.5 Flash on the Gemini chatbot will have a context window of 32K tokens. A large context window allows for more complex questions and longer back-and-forth conversations. 

To take advantage of this, Google is updating the free version of Gemini to handle file uploads from Google Drive or devices. This has been a feature in Gemini Advanced, the paid version of the chatbot. 

When it first launched, Google claimed Gemini 1.5 Flash was 40% faster than OpenAI’s fast model GPT-3.5 Turbo. Gemini 1.5 Flash is not a small model like the Gemma family of Google models; instead, it is trained with the same data as Gemini 1.5 Pro. 

Gemini 1.5 Flash will be available on both mobile and desktop versions of Gemini. It can be accessed in more than 230 countries and territories and in 40 languages.

Reducing hallucinations with links 

Hallucinations continue to be a problem for AI models. Google is following the lead of other model providers and chatbots by adding related links to prompts asking for information. The idea is to show the AI models did not create the information without reference. 

“Starting today for English language prompts in certain countries, you can access this additional information on topics directly within Gemini’s responses. Just click on the chip at the end of a p …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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