Meta challenges OpenAI with code-gen free software ⚔️
Meta challenges OpenAI with code-gen free software ⚔️
Plus: Meta AI’s new RoboAgent with 12 skills. Microsoft-DataBricks collab may hurt OpenAI.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 88th edition of The AI Edge newsletter. This edition brings you ‘Meta challenges OpenAI with code-gen free software.’
And a huge shoutout to our incredible readers. You all rock! 😊
In today’s edition:
⚔️ Meta challenges OpenAI with code-gen free software
👏🤖Meta AI’s new RoboAgent with 12 skills
😟 Microsoft-DataBricks collab may hurt OpenAI
🧠 Knowledge Nugget: Mastering AI Product Strategy: A Blueprint for Success by
Let’s go!
Meta challenges OpenAI with code-gen free software
Meta is set to release Code Llama, an open-source code-generating AI model that competes with OpenAI's Codex. The software builds on Meta's Llama 2 model and allows developers to automatically generate programming code and develop AI assistants that suggest code.
Llama 2 disrupted the AI industry by enabling companies to create AI apps without relying on proprietary software from major players like OpenAI, Google, or Microsoft. Code Llama is expected to launch next week, further challenging the dominance of existing code-generating AI models in the market.
Why does this matter?
Meta’s Code Llama is set to rival OpenAI's Codex; this open-source AI model is an update of Meta's Llama 2. This tool challenges giants like OpenAI, Google, and Microsoft, giving developers more control and reducing dependence on their proprietary tools.
Meta AI’s new RoboAgent with 12 skills
Meta and CMU Robotics Institute’s New Robotics research: RoboAgent. It is a universal robotic agent that can efficiently learn and generalize a wide range of non-trivial manipulation skills. It can perform 12 skills across 38 tasks, including object manipulation and re-orientation, and adapt to unseen scenarios involving different objects and environments.
The development of the RoboAgent was made possible through a distributed robotics infrastructure, a unified framework for robot learning, and a high-quality dataset. The agent also utilizes a language-conditioned multi-task imitation learning framework to enhance its capabilities. Meta is open-sourcing RoboSet, a large, high-quality robotics dataset collected with commodity hardware, to support and accelerate open-source research in robot learning.
Why does this matter?
RoboAgent has the potential to accelerate automation, manufacturing, and daily tasks as the end users can enjoy more capable and helpful robots at home. Industries can streamline operations with efficient automation, technology could push AI and robotics boundaries, and innovation might surge across sectors.
Microsoft-DataBricks collab may hurt OpenAI
Microsoft is reportedly planning to sell a new version of Databricks software, It helps customers create AI applications for their businesses. This move could potentially harm OpenAI, as Databricks allows companies to develop AI models from scratch or repurpose open-source models instead of licensing OpenAI's proprietary ones.
Microsoft has been aggressively investing in AI services and integrating AI functionality across its products. Neither Microsoft nor Databricks have commented on the report.
Why does this matter?
Microsoft's reported intention to introduce an AI-focused Databricks software version carries implications for OpenAI. This software empowers businesses to craft AI solutions without relying on OpenAI's proprietary models, potentially impacting OpenAI's market.
Knowledge Nugget: Mastering AI Product Strategy: A Blueprint for Success
This valuable article by
explores the role of AI Product Managers and their importance in crafting successful AI product strategies. These individuals possess a unique blend of business acumen, technical expertise, and customer-centric thinking. They guide companies in embracing the potential of AI while ensuring responsible practices. Despite not writing code, AI Product Managers play a crucial role in building AI products.Why does this matter?
The article outlines the main points that AI Product Managers should consider when developing an AI product strategy, providing a blueprint for success in this field.
What Else Is Happening❗
🏢 Ex-Google Brain researchers have started an AI research company called Sakana AI in Tokyo. (Link)
👀 Runway, a gen AI video startup, has launched a new 'Watch' feature. (Link)
🤖 Research shows AI bots beat CAPTCHA and humans. (Link)
🔬 ML startup Arthur launched an open-source tool to help find the best LLM. (Link)
🎮 Buildbox has launched a new tool called StoryGames.AI! (Link)
🛠️ Trending Tools
Answercall AI: Like ChatGPT, use over the phone with your data. Powered by OpenAI’s language model.
The 5 Whys Radar: Answer 5 whys and get AI diagnosis on the root cause and potential solutions.
ImageToPrompt AI: Generate text prompts from images using AI and reproduce comparable variations.
Canopy: Pitch to AI bots of legendary founders and VCs. Perfect your pitch and interview for YC.
Neural Frames: Transform text into 4K music videos with AI visuals. For artists, musicians & creators.
IdeaScore: Test & refine business ideas with AI analysis, leaderboards & expert team access.
BlogMyVideo: Transform videos, audio & podcasts into blogs and articles with AI-driven transformation.
ResuMetrics: Transform resumes into structured data with AI. Secure sharing & API integration for recruitment.
🌟📝Friday Featured Prompt
This Week's Prompt: “Develop a Plan for Managing a Project Budget.”
Managing a project budget requires a keen understanding of the project's scope, resource allocation, and cost control measures. And to develop a comprehensive plan for managing a project budget, consider the following details:
* Project Description: [Provide a brief description of the project]
* Total Project Budget: [Provide the total budget allocated for the project]
* Key Project Deliverables: [List the key deliverables for the project]
* Project Timeline: [Provide the projected timeline for the project]
* Major Cost Drivers: [Identify the elements or activities that will likely consume the most resources]
* Reporting and Monitoring Requirements: [Specify how often and to whom you'll need to report on budget status]
Task Requirements:
1. Detail the total budget allocation across the various project needs.
2. Include strategies for monitoring and controlling costs throughout the project.
3. Develop a plan for tracking spending and maintaining transparency with stakeholders.
4. Propose contingency measures for unexpected costs or changes in the project.
5. Draft procedures for regular reporting and updates on the budget status.
Best Practices Checklist:
* The budget plan should align with the project's objectives and deliverables.
* Consider potential risks and uncertainties when planning the budget.
* Establish clear procedures for tracking, reviewing, and adjusting the budget.
*Maintain transparency with stakeholders about the budget status and any changes.
* Ensure the budget plan includes contingencies for unexpected costs.
Deliverables: Please provide a comprehensive plan for managing the project budget based on the provided preferences. The plan should include budget allocation, cost control strategies, spending tracking procedures, contingency measures, and reporting protocols.
Format the content in markdown. Use bullet points and tables wherever required.
In the realm of project management, mastering budget intricacies is your gateway to triumph.
This prompt will help professionals and aspiring leaders alike with the prowess to sculpt meticulous budgets, wield cost-control strategies, and orchestrate seamless reporting using ChatGPT.
Ready to lead?
That's all for now!
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Thanks for reading, and see you tomorrow. 😊