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Generative AI has been evolving at a rapid pace.
Timeline of some of the major large language model (LLM) developments in the months following ChatGPT’s launch
McKinsey & Company
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2023
2022
Mar 30
Bloomberg announces a LLM trained on financial data to support natural- language tasks in the financial industry
April 13
Amazon announces Bedrock, the first fully managed service that makes models available via API from multiple providers (e.g., Anthropic) in addition to Amazon's own Titan LLMs
Mar 21
Google releases Bard, an AI chatbot based on the LaMDA family of LLMs
Mar 16
Microsoft announces the integration of GPT-4 into its Office 365 suite, potentially enabling broad productivity increases
Mar 14
Anthropic introduces Claude, an AI assistant trained using a method called “constitutional AI” which aims to reduce the likelihood of harmful outputs
Mar 13
OpenAI releases GPT-4, which offers significant improvements in accuracy and hallucinations mitigation, claiming 40% improvement vs GPT-3.5
Mar 7
Salesforce announces Einstein GPT (leveraging OpenAI’s models), the first generative AI technology for customer relationship management
Feb 27
Microsoft introduces Kosmos-1, a multimodal LLM that can respond to image and audio prompts in addition to natural language
Feb 24
As a smaller model, Meta’s LLaMA is more efficient to use than some other models but continues to peform well on some tasks compared with other models
Feb 2
Amazon’s multimodal-CoT model incorporates “chain-of-thought prompting,” in which the model explains its reasoning, and outperforms GPT-3.5 on several benchmarks
Dec 26
LLMs such as Google’s Med-PaLM are trained for specific use cases and domains, such as clinical knowledge
Dec 12
Cohere releases the first LLM that supports more than 100 languages, making it available on its enterprise AI platform
Nov 30
OpenAI’s ChatGPT, powered by GPT-3.5 (an improved version of its 2020 GPT-3 release), becomes the first widely used text-generating product, gaining a record 100 million users in 2 months
Back
2023
2022
Mar 30
Bloomberg announces a LLM trained on financial data to support natural- language tasks in the financial industry
April 13
Amazon announces Bedrock, the first fully managed service that makes models available via API from multiple providers (eg, Anthropic) in addition to Amazon’s own Titan LLMs
Mar 21
Google releases Bard, an AI chatbot based on the LaMDA family of LLMs
Mar 16
Microsoft announces the integration of GPT-4 into its Office 365 suite, potentially enabling broad productivity increases
Mar 14
Anthropic introduces Claude, an AI assistant trained using a method called “constitutional AI,” which aims to reduce the likelihood of harmful outputs
Mar 13
OpenAI releases GPT-4, which offers significant improvements in accuracy and hallucinations mitigation, claiming 40% improvement vs GPT-3.5
Mar 7
Salesforce announces Einstein GPT (leveraging OpenAI’s models), the first generative AI technology for customer relationship management
Feb 27
Microsoft introduces Kosmos-1, a multimodal LLM that can respond to image and audio prompts in addition to natural language
Feb 24
As a smaller model, Meta’s LLaMA is more efficient to use than some other models but continues to peform well on some tasks compared with other models
Feb 2
Amazon’s multimodal MM-CoT model incorporates “chain-of-thought prompting,” in which the model explains its reasoning, and outperforms GPT-3.5 on several benchmarks
Dec 26
LLMs such as Google’s Med-PaLM are trained for specific use cases and domains, such as clinical knowledge
Dec 12
Cohere releases the first LLM that supports more than 100 languages, making it available on their enterprise AI platform
Nov 30
OpenAI’s ChatGPT, powered by GPT-3.5 (an improved version of its 2020 GPT-3 release), becomes the first widely used text-generating product, gaining a record 100 million users in 2 months
2023