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Microsoft is bringing cloud and AI tech to US government agencies
⚡ Today’s Highlights
📰 News: Microsoft is bringing cloud tech and GPT-4 to US government agencies
💰 Funding: EliseAI, Contextual AI, and MatrixSpace
🦾 Tools: Leverage the power of GPT-4 to create personalized AI chatbots with zero coding required
📅 Events: Data Science Salon NYC ends today!
📰 Today's Top Stories
(2 min read) (Source: Bloomberg)
TLDR: Microsoft is enabling users of its Azure Government cloud computing service, including US agencies including the Department of Defense, the Energy Department and NASA, to access artificial intelligence models from OpenAI. Azure Government customers can now utilize OpenAI's GPT-4 and GPT-3 models through Microsoft's Azure OpenAI service.
In other OpenAI news:
OpenAI still not training GPT-5, Sam Altman says (3 min read) (TechCrunch)
OpenAI CEO Sam Altman has reaffirmed that the development of GPT-5 is not currently in progress. The company is focused on addressing safety concerns through measures such as external audits, red-teaming, and safety tests. Altman emphasized that OpenAI is still in the evaluation stage and has a significant amount of work to do before starting work on GPT-5, emphasizing the importance of thorough preparation and consideration in the development process.
OpenAI against regulation of smaller AI startups, CEO says (2 min read) (Reuters)
OpenAI's CEO, Sam Altman emphasized the need for self-regulation within the industry during a conference in New Delhi stating that OpenAI advocates for regulation on themselves and larger entities but explicitly said there should be no regulation on smaller companies.
(2 min read) (Source: Google Blog)
TLDR: Google's chatbot, Bard, is getting better at logic and reasoning tasks, particularly in math and coding, thanks to "implicit code execution." By autonomously writing and executing code, Bard generates more accurate responses, addressing the limitations of general language models in software development.
In other Google news:
DeepMind AI creates algorithms that sort data faster than those built by people (7 min read) (Nature)
Google's AI research lab, DeepMind has developed AlphaDev, a potentially groundbreaking AI system based on AlphaZero that has discovered faster sorting and hashing algorithms in the foundational aspects of data storage, processing, and retrieval. This breakthrough, published in Nature, could lead to significant time and energy savings in data sorting, storage, and retrieval processes used extensively by developers.
Mayo Clinic is testing Google Cloud's generative AI search tool, Enterprise Search on Generative AI App Builder, to create customized chatbots that can quickly interpret patient data and medical records, aiding clinicians in their decision-making process and reducing administrative overload.
The tool enables faster retrieval of information across various formats and locations, helping to improve efficiency and prevent physician burnout in healthcare settings. Google Cloud emphasizes privacy and compliance with HIPAA regulations in its approach to implementing generative AI in the healthcare industry.
💰 Funding Alerts
1. EliseAI, a leading conversational AI platform for real estate, raised $35 million in a Series C funding round led by Point72 Private Investments (Eddie Kang, Partner), with participation from Koch Real Estate Investments, Golden Seeds, Navitas Capital, JLL Spark, and DivcoWest.
EliseAI offers many advanced automation and customer service solutions.
With the funding, EliseAI aims to further enhance its platform through continued product development. Additionally, the company plans to expand its reach into new markets, including the healthcare industry, and continue to innovate in the field of conversational AI.
2. Contextual AI, a company specializing in generative AI for the workplace, raised $20 million in funding, with Bain Capital Ventures (Aaref Hilaly, Partner) leading the round, and participation from Lightspeed, Greycroft, SV Angel, and notable angel investors.
Contextual AI offers customized models tailored to individual company data sources.
With the funding, Contextual AI aims to address challenges in enterprise AI, including improving information accuracy, enabling attribution and correction of outputs, ensuring compliance, facilitating customization, and preserving data privacy. The company seeks to create large language models that are safer, more trustworthy, and more efficient for enterprise applications.
3. MatrixSpace, a compact AI-powered radar system, raised $10 million in Series A funding led by the Raptor Group (Rob Broggi, Partner), with participation from Intel Capital (David Johnson, Managing Director) and a group of prominent technology executives.
MatrixSpace’s AI-powered radar system digitizes the outdoors, enabling long-range sensing capabilities for various applications including critical infrastructure security, aviation, transportation, defense, and robotics.
MatrixSpace aims to accelerate technology advancements, expand customer adoption, and drive revenue growth with the raised funds.
🦾 Trending Tools
Process AI is a next-gen process management platform powered by AI & ChatGPT. Optimize business processes, create powerful automations, and elevate recurring work. Trusted by Salesforce, MIT & more.
Dante AI leverages the power of GPT-4 to create personalized AI chatbots, zero coding required. Easily upload files, images, or share website links to generate intelligent chatbots that provide deep insights. Secure and integrate with ease using Dante's API.
ClientZen accelerates customer feedback insights by 6x with AI. Automate feedback analysis, get real-time reporting on customer issues, and work seamlessly with Intercom, Zendesk, and 80+ sources.
Pitch Avatar is an AI assistant for personalized presentations. Generate scripts, create voice-overs, and let avatars present for you. Join sessions online and access detailed analytics.
👀 More Reading:
How Sam Altman Stormed Washington to Set the A.I. Agenda (The New York Times)
Are AI startups too easy to copy? (Semafor)
Generative AI could radically alter the practice of law (The Economist)
Your Data Strategy Needs to Include Everyone (Harvard Business Review)
Companies want to use AI tracking to make you better at your job (The Washington Post)
Surging stockmarkets are powered by artificial intelligence (The Economist)
Job listings asking for generative AI skills are soaring, analysis finds (Business Insider)
🌎 Fresh Content
1. Many AI companies have tried to make LLMs more accessible by making them smaller while retaining their performance. Microsoft recently released a 51-page report showcasing a new model called Orca which, at 13 billion parameters, is small enough to run locally on a laptop. AI Explained has all the details. (YouTube)
2. The Economic Times sat down for a Q&A with OpenAI founder Sam Altman, covering topics such as the global start-up ecosystem, competition, and AI singularity. (YouTube)
Decoding Emotions: AI Model Predicts People’s Feelings (Neuroscience News)
📅 Upcoming Events
Don’t miss Data Science Salon NYC (June 7-8, 2023 / New York, NY, USA + Virtual), the annual one-day 150-person conferences focused on AI and machine learning applications in finance & technology (June 7) and media & advertising (June 8). Finance & Technology takes place at S&P Global Market Intelligence and Media & Advertising takes place at Blender Workspace in the heart of NoMad. The events bring local industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices. Register today to attend in-person or virtually!
The Open Data Science Conference 2023 (June 14-15, 2023 / Tobacco Dock, London, England + Virtual) helps you build job-ready skills and stay up-to-date with the latest advances in machine learning, NLP, LLMs, data analytics, responsible AI, and more with ODSC East’s expert-led, immersive, training sessions. With 300 hours of content, the conference features a wide range of sessions for data scientists at every level, from beginner to expert.
Harness the power of ChatGPT to strategize an intelligent pricing model for your business through these stimulating prompts. This prompt will help you create a dynamic pricing strategy that incorporates machine learning for real-time optimization of your product/service prices based on supply, demand, and customer behavior. Adapt these prompts according to your business specifics and benefit from valuable insights, and possibly discover novel pricing strategies for your business to prosper in the competitive market.
Dynamic Pricing Strategist
Engage ChatGPT as your dynamic pricing strategist to draft a plan for implementing a dynamic pricing model in your business. The model would leverage machine learning to automatically adjust your product/service prices based on real-time market conditions like supply, demand, and customer behavior.
Prompt: "Please assume the role of a dynamic pricing strategist. I need your assistance in creating a strategic and financial blueprint for my organization to implement a dynamic pricing model. I want to employ machine learning and market data to dynamically adjust my product or service pricing according to real-time fluctuations in supply, demand, and customer behaviors. Assume I don’t have expertise in business operations. What should I consider as factors in the decision? What should I learn more about to help me better understand the concept? Begin by asking for the information you need about my business to make an informed decision as a dynamic pricing strategist.”