Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art. Enjoy!
ChatGPT’s New Search Feature – ChatGPT can now browse the internet to provide you with current and authoritative information, complete with direct links to sources. It is no longer limited to data before September 2021. Since the original launch of browsing in May, OpenAI received useful feedback. Updates include following robots.txt and identifying user agents so sites can control how ChatGPT interacts with them. Browsing is particularly useful for tasks that require up-to-date information, such as helping you with technical research, trying to choose a bike, or planning a vacation. Browsing is available to Plus and Enterprise users today, and will expand to all users soon. To enable, choose Browse with Bing in the selector under GPT-4.
Takeaways from Meta Connect by Forrester VP, Research Director Mike Proulx –
“Arguably, the star of Meta Connect today was Meta AI — a first generation assistant based on Meta’s Llama 2 language model. It can access real-time information due to a partnership with Microsoft’s Bing search. It also embeds Emu (Meta’s Expressive Media Universe image model) into its UI. This enables users to generate custom photorealistic images and stickers. And Emu’s soon-to-launch Instagram integration for advance AI-photo manipulation will be one to watch as it will bring immediate utility to the IG experience.
It was Meta AI’s integration into its next generation Ray-Ban Smart Glasses that was perhaps today’s biggest surprise. Almost (but not quite yet) like fictional Tony Stark’s Jarvis-enabled glasses, Ray-Ban users can interact with Meta AI using voice commands. As Zuckerberg put it, this is ‘an AI assistant that will hear what you’re hearing and see what you’re seeing.’ Yes, this is both creepy and promising for the future of smart glasses.”
Cisco to acquire Splunk in $28B mega deal – Cisco just snapped up analytics and cybersecurity firm Splunk for $28B. Cisco-Splunk will be one of the world’s largest software firms, gaining strong ARR and powerful AI initiatives and capacity.
ChatGPT announced it will integrate voice and image capabilities, enabling the commonly used AI tool to hear, see and speak. Voice and image give you more ways to use ChatGPT in your life. Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it. When you’re home, snap pictures of your fridge and pantry to figure out what’s for dinner (and ask follow up questions for a step by step recipe). After dinner, help your child with a math problem by taking a photo, circling the problem set, and having it share hints with both of you.
Pryon raises $100M to index and analyze enterprise data – Pryon, a startup developing an AI-powered platform to look for insights in — and surface answers from — enterprise knowledge bases, today announced that it raised $100 million in a funding round led by Thomas Tull’s U.S. Innovative Technology Fund.
Coqui Releases Model Weights for Their New Generative Voice Model – XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. 3-second cloning, Multilingual speech generation, Cross-language voice cloning, 24khz quality.
Tabby: The Open-Source GitHub Copilot – Tabby is an open-source, self-hosted AI coding assistant, positioning itself as a practical alternative to GitHub Copilot. It allows teams to effortlessly leverage any Coding LLM, ensuring flexibility and compatibility in code completion tasks.
Top Authors Join Lawsuit Against OpenAI Over Copyright Infringement of Novels – The suit marks the third legal action from authors, who take issue with AI companies using their novels as training data without consent.
Amazon Invests $4B into Anthropic to Competing Against Microsoft (OpenAI) – Amazon plans to invest up to $4 billion in the AI startup Anthropic. The two companies will collaborate on developing reliable and high-performing foundation models. Amazon Web Services (AWS) will be the primary cloud provider for Anthropic. The investment also includes AWS’s Trainium and Inferentia chips to be used for model training and deployment. This investment marks a significant move in the AI industry, positioning Amazon to compete directly with other tech giants like Microsoft, Google, and Nvidia. The collaboration aims to make AI more safe, reliable, and widely accessible. It also gives AWS customers access to advanced AI capabilities.
Amazon invests billions in AI startup Anthropic – insights from Forrester Senior Analyst Rowan Curran –
“This announcement from Amazon and Anthropic puts together another powerful pairing of enterprise expertise and advanced LLM capabilities. It – and also signals that some of the biggest and most technologically advanced companies in the world are being equaled or surpassed by small startups. The partnership between Amazon and Anthropic looks similar to other announcements we’ve seen of this kind. Here, – Amazon will provide compute and storage for the research and development of more advanced models, and in turn Anthropic will provide advanced access to future models for AWS customers.
Anthropic has made the creation and delivery of responsible AI technologies one of their foundational principles. Paired with Amazon’s emphasis on privacy and security aspects when using their own models in Bedrock, this could potentially be an appealing alternative for companies and governments who want to deploy LLMs at scale in a secure cloud environment.”
“Light-Touch” AI Bill – Senate Minority Whip John Thune (R-S.D.) and Sen. Amy Klobuchar (D-Minn) plan to introduce a bill requiring AI companies to self-certify the safety of high-risk AI systems.
AI Regulation: step with care, and great tact – Spending years constructing the “perfect AI legislation” and “completely new AI agencies” will end up like the parable of the blind men and an elephant – creating repackaged laws that attempt to regulate AI from different angles without holistically solving anything. We need AI regulation that defaults to action, that balances opening the door to innovation and creativity while casting a shadow over misuse of data and punishing discriminative, abusive, and prejudicial conduct.
“No Cloud Needed” – A new Intel chip due in December will be able to run a generative artificial intelligence chatbot on a laptop rather than having to tap into cloud data centers for computing power.
Roblox acquires voice moderation startup Speechly – The buyout of voice API startup Speechly will bring its advanced real-time voice chat and AI Voice Chat Moderation services to the online gaming network.
Debunkd – Helps you fact-check any ChatGPT result. Ensure the information you receive is accurate and trustworthy.
Phi-1.5 – Phi-1.5 is a 1.3-billion-parameter Transformer language model trained on a primarily synthetic dataset. The model achieves near SOTA performance in tasks like common sense reasoning and language understanding, particularly among models with less than 10B parameters.
Google’s BARD NEW Insane Update Changes Everything! – Google’s AI chatbot, Bard, gets a major update, now seamlessly integrating with Google services like Gmail and Maps. With features like real-time fact-checking and support for 40 languages, Bard might be surpassing ChatGPT. Explore Bard’s new capabilities and how it’s reshaping the conversational AI landscape.
Browse AI – Extract and monitor data from any website with ease, no coding required. Train robots, schedule data extraction, and leverage prebuilt robots for popular use cases. Save time, automate tasks, and gain valuable insights
Amazon Alexa Takes a Leap with Human-like Generative AI – Amazon’s Alexa is about to bring generative AI inside the house, as the company introduces sweeping changes to how its ubiquitous voice assistant both sounds and functions.
Research Paper: LongLoRA: Efficient Fine-tuning of Long-context Large Language Models – LongLoRA is a recent machine learning research study that presents a new approach to efficiently fine-tune large language models (LLMs) with long contexts, while keeping computation costs low. Training LLMs with long context sizes is typically very resource-intensive, requiring extensive training hours and GPU resources. The study’s goal is to extend the context sizes of pre-trained large language models without incurring a massive computational burden typically associated with this process.
How to fine-tune OpenAI’s GPT-3.5 Turbo using Labelbox – Looking to get the most out of large language models like GPT-3.5? It’s no secret that the quality and accuracy of outcomes from your ML systems depends on the data used to train or fine-tune your LLMs. Fine-tuning unlocks the full potential of large language models by efficiently specializing them to your specific use case and business needs.
Labelbox now provides end-to-end support for fine-tuning leading large language models like Google’s Vertex AI and OpenAI’s GPT-3.5. With Labelbox, you can easily: (i) Generate high-quality training datasets for fine-tuning; (ii) Export datasets and start fine-tuning jobs; (iii) Continuously evaluate model performance and identify gaps. With these new capabilities, Labelbox provides an integrated platform to optimize large language models and maintain accuracy over time through continuous data iteration.
DDN Storage Delivers 700% Gains in AI and Machine Learning for Image Segmentation and Natural Language Processing – DDN announced impressive performance results of its AI storage platform for the inaugural A storage benchmarks released by MLCommons Association.
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