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- Meta officially announces their code-generating model, Code Llama
Meta officially announces their code-generating model, Code Llama
Aug 25, 2023
Made with Midjourney and Canva. Prompt: ‘a humanoind, cyborg llama dressed like a hacker looking at a screen --ar 16:9 --v 5.2’
⚡ Today’s Highlights
📰 News: Meta officially announces their code-generating model, Code Llama + Amazon is bringing AI to Thursday Night Football
💰 Funding: Modular, Ikigai Labs, Cypago, APERIO, and Keona Health
📰 Today's Top Stories
(8 min read) (Source: Meta AI)
TLDR: Meta Platforms officially announced Code Llama, an AI model for writing computer code, capable of code generation, completion, and debugging.
Code Llama is based on Meta's Llama 2 language model and supports coding languages like Python, Java, and C++.
This move aligns with Meta's increasing presence in AI, following its release of various AI models, including the open-source Llama language model.
The AI model's focus on code-writing aligns with the growing trend of using AI to streamline programming processes and enhance software development efficiency.
(8 min read) (Source: TechCrunch)
TLDR: Amazon Prime Video introduces AI-driven enhancements for its second year of exclusive NFL Thursday Night Football streaming, offering features like Defensive Alerts, Prime Targets, Fourth Down Territory, Field Goal Target Zones, and Key Plays.
AI-driven features aim to provide viewers with deeper insights into the game, enhancing the viewing experience by predicting blitzes, identifying open receivers, offering fourth-down decision insights, and highlighting key moments.
The Big Picture: The sports industry's adoption of AI-driven features for enhanced viewer engagement exemplifies the evolving nature of entertainment and consumption. Beyond entertainment, these advancements reflect the larger trend of integrating AI in diverse sectors to create more interactive, personalized, and data-rich experiences for users.
(3 min read) (Source: TechCrunch)
TLDR: OpenAI announced a ‘preferred partnership’ with Scale AI to facilitate developers' fine-tuning of AI models, like GPT-3.5, through third-party platforms, enhancing customization and data integration.
The partnership combines OpenAI's GPT-3.5 fine-tuning APIs with Scale AI's data expertise, ensuring tailored AI models align with performance and safety requirements.
👀 More Reading
The Myth of ‘Open Source’ AI (WIRED)
Wikipedia Will Survive A.I. (Slate)
AI could fortify big business, not upend it (The Economist)
How and when to charge for adding AI to your enterprise software (TechCrunch)
AI helps robots manipulate objects with their whole bodies (MIT News)
Using ChatGPT to Make Better Decisions (Harvard Business Review)
💰 Funding Alerts
1. Modular, a company focused on providing next-generation AI developer infrastructure to enable developers to utilize AI technology more efficiently and effectively, raised $100 million.
Modular aims to defragment AI technology stacks, accelerate AI innovations into production, and improve AI programmability, usability, scalability, and efficiency.
Round led by General Catalyst (Deep Nishar, Managing Director), with participation from existing investors GV (Google Ventures), SV Angel, Greylock, and Factory.
Funding will be used to further develop and enhance Modular's AI developer platform, including the AI Engine and Mojo programming language. They will also provide local desktop support for Mojo and focus on open-sourcing the Mojo standard library.
2. Ikigai Labs, a company specializing in generative AI solutions for tabular data, raised $25 million in new capital.
Their platform combines time series forecasting with proprietary foundation blocks for data reconciliation, prediction, scenario planning, and optimization.
Round led by Premji Invest (Sandesh Patnam, Managing Partner), with participation from Foundation Capital (Ashu Garg, General Partner) and e& capital.
Funding will be used to continue expanding their solutions to help businesses make faster, data-driven decisions for growth and competitiveness in various industries.
3. Cypago, a cybersecurity startup that uses AI to analyze documents, policies, and existing tool stacks to enhance cybersecurity visibility and enforcement, raised $13 million in funding.
The platform automates cybersecurity processes and workflows for governance, risk, and compliance.
Round led by Entrée Capital, Axon Ventures, and Jump Capital.
Funding will be used to expand Cypago's research and development division and product teams to support its go-to-market efforts in North America and the EU.
4. APERIO, a leader in operational data quality, addressing data-quality roadblocks faced by manufacturers seeking to optimize AI potential, raised $9 million in Series A1 funding.
APERIO's software is used by large industrial customers to enhance operational data reliability for performance optimization and risk mitigation.
Round led by Momenta (Michael Dolbec, Managing Partner) and joined by investors including Chevron Technology Ventures, NextEra Energy, National Grid Partners, Delek US, and Bazan Group.
Funding will be used to expand the team, enhance the product, and improve customer experience.
5. Keona Health, a healthcare software company offering the CareDesk platform for patient access to doctors' offices with AI-driven dynamic branching and automation, raised $7 million in Series A-1 funding.
Keona's AI-powered platform streamlines patient communication and access to medical services, optimizing patient and provider interactions.
Round led by Riverside Acceleration Capital (RAC), joined by Riverside Company's growth capital arm.
Funding will be used to help Keona's sales and marketing efforts and expand integrations with more electronic health records (EHRs).
🌎 Fresh Content
1. Ever wondered if Siri could understand a knock-knock joke or if Alexa could write a comedy script? Dive into this riveting episode of Freakonomics Radio, hosted by Stephen Dubner and guest-hosted by Adam Davidson, co-creator of NPR's Planet Money. Together, they delve into the fascinating world of A.I. and its evolving role in understanding the complexities of human humor.
Hear from experts like Lydia Chilton, a computer science professor at Columbia University, who breaks down the science behind A.I.'s wordplay. And don't miss the insights from TV writer and producer Michael Schur, as he grapples with the ethical maze of A.I. in the creative industry.
Will A.I. ever crack the code of comedy? Could it replace human writers in Hollywood? What are the ethical lines we shouldn't cross? Find out on this episode of Freakonomics Radio!
2. In this episode of Two Minute Papers, Dr. Károly Zsolnai-Fehér covers some groundbreaking research that pairs AI with fMRI technology to read human minds! This research unveils the astonishing capabilities of AI in capturing and interpreting brain activity, even to the point of reconstructing images and videos that people have seen.
Witness how AI is transforming our understanding of the brain, and why this could be a game-changer for neuroscience.
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