Legal Services, Filmmaking, and Coding Are Among the Industries Most Impacted by AI

Generative AI technology is currently shaking up at least three industries: legal services, filmmaking, and coding. The Financial Times wrote a report analyzing the impact of AI tools. In legal services, firms are regularly using AI technology, still in the early days – with Harvey as the main provider. They consider it a productivity gain and a time-saving tool, especially for tasks assigned to junior staff. Rather than replacing jobs, experts say AI could intensify work. In the filmmaking industry, the impact of AI can be seen in the reduction of work for screenwriters, adoption of AI dubbing technology in foreign-language films, and "digital doubles" for actors. Therefore, screenwriters fear that book adaptations or first drafts can be written by AI, while actors worry about losing control of their images, and voice dubbers are concerned that new AI technologies matching mouth movements to different languages will eliminate their jobs. For example, two start-ups, Flawless and Papercup, have developed tools that use AI to automate the translation and dubbing process. In the software industry, generative AI can suggest lines of code that programmers can run and test. It can also analyze existing code and search for vulnerabilities. The consensus is that AI can boost productivity but struggles with complex software. Experts note that AI does get stuff wrong too, as it might invent a function that doesn’t exist, but it all looks perfectly plausible. This echoes the need for developers to review responses. In other words, AI can boost developers’ productivity, but it is not efficient yet. .

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AWS Announced Autonomous AI Agents that Add Key Functionality to Foundation Models

Amazon's AWS cloud provider is showing this month to large customers its service Agents for the Amazon Bedrock foundation model, which lets businesses create chatbots that execute tasks and give more personalized answers drawing from their proprietary data. For example, an airline can build a virtual agent that books a flight for a traveler, for instance, based on a customer's price, destination, and seating requests. Another example takes place in the healthcare industry: software vendors can build apps that transcribe and analyze clinical notes after a patient visit. This service is offered now under the name of AWS HeathScribe. "Our mission is to make every company an AI company," said AWS' Vice President Swami Sivasubramanian during a large AWS event in Manhattan last month. Amazon Bedrock is the company's answer to services announced by Google's and Microsoft's cloud AI offering. Amazon Bedrock's API service allows developers to build applications without the need to manage AI infrastructure at all. Because they run on an AWS-managed infrastructure, the models can be scaled on services like EC2 and Lambda and provide low-latency endpoints to enable real-time integration into workflows. The two Amazon Bedrock Titan foundation models, Titan Text and Titan Embeddings are pre-trained on large datasets. According to Amazon, thousands of customers are now using Amazon Bedrock for various generative AI applications, such as self-service, customer care, text creation, and post-call analysis. .

ChatGPT Will Feature Prompt Examples and Suggest Replies to Users

OpenAI plans to roll out a bunch of updates on ChatGPT this week. The chatbot will feature prompt examples at the beginning of a new conversation and will suggest replies to continue the engagement. For paid users in the Plus category, ChatGPT will remember the GPT-4 selected model without defaulting back to GPT-3.5. Also. for users in the same Plus category, the new Code Interpreter feature will be available, resulting in ChatGPT analyzing data and generating insights across multiple files. Finally, OpenAI has implemented keyboard shortcuts: ⌘ (Ctrl) + Shift + C to copy code block and ⌘ (Ctrl) + / to see the complete list. On the other hand, OpenAI has launched a web crawler called GPTBot to improve its AI models. Users have the possibility to prevent GPTBot from accessing their website's content and/or allowing certain pages and disallowing others, as explained, as explained on an OpenAI blog post. . Update August 10, 2023: OpenAI announced that it’s expanding Custom instructions to all users, including those on the free tier of the service. These custom instructions allow users to add various preferences and requirements that they want the AI chatbot to consider when responding, so they don’t have to rewrite the same instruction prompts every time they interact with the chatbot. For example, a teacher using ChatGPT to create a lesson plan would no longer have to constantly repeat that they teach 3rd grade to receive an appropriately customized response. We’re rolling out a bunch of small updates to improve the ChatGPT experience. Shipping over the next week: 1. Prompt examples: A blank page can be intimidating. At the beginning of a new chat, you’ll now see examples to help you get started. 2. Suggested replies: Go deeper with… — OpenAI (@OpenAI) August 3, 2023

SAP Invested in Generative AI startups Anthropic, Cohere, and Aleph Alpha

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Zoom Will Use Users' Data to Train Its AI Models

According to recently updated terms of service, Zoom can now train its AI models using users data on product usage. The latest update to the video platform’s terms of service, effective as of July 27, on its print, seems to establish Zoom’s right to utilize some aspects of customer data for training and tuning its AI, or machine-learning models. It does not provide an opt-out option. These new terms reveal Zoom’s own AI strategy, according to experts. Zoom's terms literally state: "You consent to Zoom’s access, use, collection, creation, modification, distribution, processing, sharing, maintenance, and storage of Service Generated Data for any purpose, to the extent and in the manner permitted under applicable Law, including for the purpose of … machine learning or artificial intelligence (including for the purposes of training and tuning of algorithms and models)." "Your content is used solely to improve the performance and accuracy of these AI services," Zoom wrote in a blog post. The update comes amid growing public debate on the extent to which AI services should be trained on individuals’ data. Chatbots such as ChatGPT, Google’s Bard, and Microsoft’s Bing, along with image-generation tools like Midjourney and Stable Diffusion, are trained on swaths of internet text or images. Across the generative AI sector, lawsuits have popped up in recent months from authors or artists who say they see their own work reflected in AI tools’ outputs. In June, Zoom introduced two new generative AI features, such as a meeting summary tool and a tool for composing chat messages, on a free trial basis for customers. When a user does enable these features and therefore gives his content, Zoom has them sign a consent form allowing Zoom to train its AI models. .  

Coursera Issues a Prompt Engineering Class While It Prepares Its AI Toolset

Coursera launched several new short-form content, content, courses, and credentials in the last weeks, covering generative AI. This offer includes two timely courses: Prompt Engineering for ChatGPT from Vanderbilt University Introduction to Generative AI, Responsible AI, and Large Language Models from Google Cloud Coursera also shared that it continues developing new generative AI-powered tools and features which are targeted to launch later this year. Among them: Coursera Virtual Coach. It will answer questions, share personalized feedback, and provide quick video lecture summaries and resources, such as a recommended Clip. It will also communicate in different languages and for any education level. Machine Learning Powered Translations. Course readings, lecture video subtitles, quizzes, assessments, peer review instructions, and discussion prompts across 2,000+ courses will be translated from English into Spanish, Arabic, Brazilian Portuguese, French, German, Indonesian, and Thai. AI-Assisted Course Builder. This tool will auto-generate course content, such as course structure, readings, assignments, and glossaries. Authors will be able to integrate their privately-authored content.   In an interview with Quartz, Jeff Maggioncalda, the CEO at Coursera, explained how his company is harnessing the new capabilities of AI. .   https://youtu.be/2NoNdedtUnc