GitHub’s Post

If the recent OpenAI drama told us one thing, it's this: AI is still super early and fragile. Nothing can be taken for granted, and industry leaders can stumble within a weekend. As a business, this means we need to stay flexible and not get locked into a single AI from day one. So how do you do that? Open source tools are an obvious answer. But many companies get it wrong when they think about open source LLMs to begin with. There are much better places to start than "just" the LLM. Right now, it's most important to build a system for LLMs that remains flexible and powerful enough to adapt to change. You don't need an open source model for this, you need an open source stack. #opensource #ai #aiforbusiness #tech #letsconnect

Install Open Source AI With One Click!! The reason most people never play with an open source AI is simple...it's hard. Most of us are intimidated by GitHub and haven't touched a command line in thirty years. LMStudio finally gives us the 1-click option to install any AI we want. You can see all the different models to choose from as well as their ranks and if the model will run fast, slow or not at all on your computer. If you want total control of your AI interactions and privacy or maybe you just want to wright a naughty scene in a romance novel, it's finally easy. This is a free program that gives you access to hundreds of other free programs. Check it out here: https://lnkd.in/gx9uK-_H #servenomaster @artificialintelligencepodcast #artificialintelligence

Welcome Snowflake Arctic: a state-of-the-art open source large language model uniquely designed to be the most open, enterprise-grade LLM today!! Introducing the latest enterprise AI innovation - the open, game-changing large language model # with exceptional efficiency on a large scale, expanding the Snowflake family of models designed for various retrieval use cases. Discover how we're spearheading AI advancement for all users! #SnowflakeArctic I can't wait to speak to you about this!!

Open Source Summit North America returns April 16-18 with a jam-packed schedule including The Open Source AI Dilemma: Crafting a Clear Definition for Open Source AI! 🚀 ⭐ Join Ofer Hermoni, Ph.D., Generative AI Education & Outreach Chair at LF AI & Data, for a vital discussion on defining Open Source AI, a task emerging as both essential and complex in the evolving AI landscape. In a world where #AI's role is becoming ever more pivotal, understanding its open-source dimension is both essential and complex. This session will delve into: ✔ The unique challenges and nuances of AI compared to traditional Open Source Software. ✔ The crucial balance between innovation and the Open Source principles of studying, using, modifying, and sharing. ✔ Practical approaches to open AI frameworks and models that foster innovation while respecting the essence of Open Source. 🔎 Learn more: https://lnkd.in/d2PEHnYM 🎟️ Register for OSS NA: https://lnkd.in/eYv-iDi #ossummit #linuxfoundation #opensource #oss

Despite GAI's remarkable potential, its path to market has spotlighted significant concerns around transparency, reproducibility, bias, and safety. Notably, several "open-source" GAI models fall short in providing the comprehensive understanding and reproducibility required, with some adopting restrictive licenses—a situation referred to as "openwashing." To address these issues, we have introduced the Model Openness Framework (MOF), a systematic approach that evaluates machine learning models based on their completeness and openness. The MOF champions the principles of open science, open source, open data, and open access, insisting on the inclusion and open licensing of vital components throughout the model development lifecycle. 🔗 Download paper: https://lnkd.in/eFU-CC2T Our framework seeks to eliminate the misrepresentation of ostensibly open models, directing researchers and developers toward the comprehensive provision of model components under permissive licenses. It also aids companies, academia, and hobbyists in identifying models that are genuinely open and free from restrictive adoption barriers. Through the widespread implementation of the MOF, we aim to cultivate a more open #AI ecosystem, thereby facilitating accelerated progress in research, innovation, and the broader adoption of AI technologies. #opensource #oss #linuxfoundation #genai #generativeai

#day60 #100daysofcodechallenge My latest project is all about leveraging AI to revolutionize the way people access and interact with information. I will be integrating the powerful OpenAI API to develop an AI-powered summarization tool. The goal is to provide concise and coherent summaries of lengthy articles, essays, and dissertations, saving me valuable time and effort. The AI summarization tool will offer several key features, including time efficiency, precision, and clarity. I can customize the length of the summaries according to my needs and benefit from multilingual support. The project aims to cater to students, researchers, professionals, and learners alike, ensuring easy access to knowledge from vast amounts of text. Already set! Let's go

Open Source AI was a big topic at the World AI Cannes Festival this week. Yann LeCun, Meta’s chief AI scientist, said that the future of AI “must be open source.” But what exactly is Open Source AI? The Open Source Initiative (founded in 1998) is still drafting its definition but this is what we know so far. Open Source isn't just a method of developing and deploying software. Open Source is a culture that promotes openness, collaboration, and shared progress. #OpenSource #AI #Collaboration #Innovation

I was reading about AI and tech updates, and here's the most important one! #Google is now testing AI overviews directly within the main Google Search results – This is related to #SearchLabs that was launched in May 2023, and users' feedbacks were considered throughout the process! Some Features: - SGE (Search Generative Experience): Experience the power of generative AI directly within Google Search. - Code Tips: There are large language models to enhance your coding experience. If it is available in your country, you should try it out! #GoogleSearch #SearchLabs #Innovation #FeedbackIsKey #EnhancedSearchExperience

CBInsight.com article below highlighting the ongoing battle between OpenSource and Closed Source #llms. I'm personally seeing more corporate users gravitating to open-source like Llama 2 to incorporate their knowledge directly while viewing it as more secure. What are your thoughts? Key points are: 📘 Open source vs. closed source AI debate in spotlight 🌐 Meta launched open-source LLM Llama 2, Google & OpenAI taking closed approaches 👍 Benefits of open source AI: flexibility, innovation, transparency 👎 Drawbacks of open source AI: misuse, weaker performance 💰 Early adopters focused on practicalities like ease of use and cost 🗺️ Open source AI development market map - tools for different parts of AI dev process https://lnkd.in/eS8TgXie