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Welcome to the special edition of MobilePro where we make recommendations on the best resources. This week we discuss Large Language Models and why they should be your new BFFs!
The global LLM market is expected to grow from $1.59 billion in 2023 to $259.8 billion in 2030. In 2023, Claude 3 Opus was the top LLM tool with an average market share of 84.83%, followed by Gemini 1.5 Pro with an average of about 80%.
LLMs identify patterns in data and generate natural output. They also perform basic tasks with JSON format graphs, such as reading a value from a graph and you know this - you probably already make great use of them while developing your apps. LLMs are trusted comrades in your mobile and cross-platform apps battlefields! But we're taking another step forward.
By 2025, it's estimated that therewill be 750 million apps using LLMs and 50%of digital work is estimated to be automated through apps using these language models.
In the following sections we cover the latest news on LLMs and provide recommendations on resource that can help you get aboard the LLM bandwagon!
Thanks,
Apurva Kadam
Editor-in-Chief, Packt
Check out the latest news on LLMs and see how it is relevant to what you do!
Apple Unveils iPhone 16 Built for AI; Apple Intelligence Coming to Product Lineup
Apple is bringing artificial intelligence to its product line, starting with the unveiling of the new iPhone 16 and its new personal intelligence system announced Monday. The company’sApple Intelligence will power the new models with an “easy-to-use personal intelligence system that understands personal context to deliver intelligence that is helpful and relevant while protecting user privacy,” Apple said.
Nvidia Launches Workflows for Organizations to Build Their Own AI
Nvidiahas released a catalog of pre-trained, customizable AI workflows to enable organizations to quickly develop their owngenerative AI applications. Known asNIM Agent Blueprints,the workflows will initially target established enterprise use cases for generative AI. These include customer service avatars, PDF extraction for retrieval-augmented generation (RAG) and drug discovery virtual screening.
AI Coding Tools Boost Developer Productivity, Enable More Collaboration
GitHubsurveyed 2,000software engineers, developers, and programmers from the US, Brazil, Germany, and India, as well as a small number ofdata scientistsand software designers. Over 97% of respondents said they had used AI coding tools at work at some point, although some of these instances were not sanctioned by their companies. GitHub noted that this year software development teams recognized more benefits with AI coding tools than previously reported.
Free ChatGPT Users Can Now Generate Images
FreeChatGPT users can now finally generate images using the chatbot after the feature was locked away behind a paywall. Previously, access toOpenAI’s DALL-E line of image generation models was only available to users who signed up forChatGPT PlusandEnterprise premium services. Free users can now create custom images using the chatbot.
Google Unveils Gemini Live Voice Assistant to Rival ChatGPT Voice Mode
Googlehas unveiledGemini Live, a conversational voice assistant that’s set to rivalOpenAI’sVoice Mode. Available through the Gemini app on Android and iOS, the new Live feature allows users to interact with the AI using their voice. Powered by Google’sGemini 1.5 Flash model, the Live feature can answer questions across a variety of generated voices, 10 in total. Users can ask the chatbot to manage their shopping lists or summarize incoming emails.
LLMs generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. In recent years, language models have become increasingly powerful and sophisticated.
Here are some resources that will get you started from the basics:
ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language.
Here are some resources that will get you started from the basics:
Prompt engineering isthe process of writing instructions to guide generative artificial intelligence (AI) models to produce the desired output.It involves using the right words, phrases, symbols, and formats to help the AI interact with users more meaningfully.
Here are some resources that will get you started from the basics:
And that’s a wrap.
P.S.: If you have don't want to be left behind in creating apps that are future-proof, do check out these resources!