- Meta Platforms has released a free-of-charge version of its AI model to compete with OpenAI’s ChatGPT and Google’s Bard.
- Meta’s AI is called Llama 2, an upgraded version of Llama which is open source and emphasizes on safety.
- AltSignals is currently conducting the presale for ASI token, the cryptocurrency that will power ActualizeAI.
Meta Releases Free of Charge AI Model
Meta Platforms has released a new and free-of-charge version of its artificial intelligence (AI) model. The new AI entrant will compete with OpenAI’s ChatGPT and Google’s Bard chatbots. Meta’s AI is named Llama 2, an upgraded version of Llama which is open source and emphasizes on safety.
Competition to OpenAI & Google
OpenAI is the company behind ChatGPT while Google created Bard chatbots. Both ChatGPT and Bard chatbots are premium AI tools. Unlike the attention-grabbing AIs created by OpenAI and Google, Llama is open-source, making its inner workings accessible to everyone to tinker with and modify. CEO of Meta Mark Zuckerberg wrote on Facebook that “open source drives innovation because it enables many more developers to build with new technology.“ He went ahead to state that because more people can examine open-source software to find and address potential problems, “it also improves safety and security.“
AltSignals‘ Presale for ASI Token
> AltSignals is currently conducting the presale for ASI token, the cryptocurrency that will power ActualizeAI. The AltSignals presale is currently in its third stage (Stage 2) after successful BETA and Stage 1. The ASI token price increases with each stage and it is currently costing $0.01875.
Advantages & Disadvantages
> Advantages include access to source code or in depth explanations regarding data handling as well as improved safety since more people can examine open source software for potential problems. Disadvantages include false information produced or deviation from expected behaviour during chatbot interactions due to closed proprietary models from companies such as OpenAI or Google who do not release their inner working details publicly..
Conclusion
> With this release by Meta Platforms, researchers have access to more refined tools which provide access into how data is handled as well as improved safety compared to other models created by companies such as OpenAI or Google whose models are closed off from public view thus leaving room for potential errors or deviations in behaviour during conversations taking place between users and bots..