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4/22/24, 1:32 PM What Are Large Language Models (LLMs)? | IBM Mh"[Nesrercdenmme an ncreacina number or Duciese Droceceee on have procnnhcr versatility across a myriad of use cases and tasks in various industries. They augment conversational AI in chatbots and virtual assistants (like IBM watsonx Assistant and Googles BARD) to enhance the interactions that underpin excellence in customer care, providing context-aware responses that mimic interactions with human agents. LLMs also excel in content generation, automating content creation for blog articles, marketing or sales materials and other writing tasks. In research and academia, they aid in summarizing and extracting information from vast datasets, accelerating knowledge discovery. LLMs also play a vital role in language translation, breaking down language barriers by providing accurate and contextually relevant translations. They can even be used to write code, or translate between programming languages.

Moreover, they contribute to accessibility by assisting individuals with disabilities, including text-to-speech applications and generating content in accessible formats. From healthcare to finance, LLMs are transforming industries by streamlining processes, improving customer experiences and enabling more efficient and data-driven decision making. Most excitingly, all of these capabilities are easy to access, in some cases literally an API integration away. Here is a list of some of the most important areas where LLMs benefit organizations: Text generation: language generation abilities, such as writing emails, blog posts or other mid-to-long form content in response to prompts that can be refined and polished. An excellent example is retrieval-augmented generation (RAG). Content summarization: summarize long articles, news stories, research reports, corporate documentation and even customer history into thorough texts tailored in ength to the output format.

Alassistants: chatbots that answer customer queries, perform backend tasks and provide detailed information in natural language as a part of an integrated, self-serve customer care solution. Code generation: assists developers in building applications, finding errors in code and uncovering security issues in multiple programming languages, even translating between them. x About cookies on this site Our websites require some For more information, To provide a smooth cookies to function properly please review your navigation, your cookie (required). In addition, options. preferences will be other cookies may be used By visiting our website, you shared across the IBM with your consent to agree to our processing of web domains analyze site usage, improve information as described in listed here. the user experience and for IBMs privacy statement, advertising. 5/8