Meta AI unveiled a new 'Imagine me' selfie feature, allowing users to create stylized AI-generated selfies based on prompts, alongside expanded language support and integration with Meta's Llama 3.1 405B model. OpenAI announced GPT-4o fine-tuning — offering 2 million free daily training tokens until September 23 to help developers customize the model for specific applications. The FTC launched an investigation into eight companies offering AI-powered "surveillance service pricing", seeking information on how these technologies use consumer data to personalize pricing. Harvey, an AI platform for legal services, secured a $100M Series C funding round led by Google Ventures, valuing the company at $1.5B, with plans to expand its AI capabilities in the professional services sector. Cohere launched Rerank 3 Nimble, a new foundation model for enterprise search and RAG systems, offering 3x faster performance than its predecessor while maintaining accuracy and supporting 100+ languages. Elon Musk proposed a $5 billion Tesla investment into xAI, subject to shareholder and board approval, potentially boosting Tesla's AI leadership and FSD capabilities.
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Another day, another post on some A.I updates: Meta AI unveiled a new 'Imagine me' selfie feature, allowing users to create stylized AI-generated selfies based on prompts, alongside expanded language support and integration with Meta's Llama 3.1 405B model. OpenAI announced GPT-4o fine-tuning — offering 2 million free daily training tokens until September 23 to help developers customize the model for specific applications. The FTC launched an investigation into eight companies offering AI-powered "surveillance service pricing", seeking information on how these technologies use consumer data to personalize pricing. Harvey, an AI platform for legal services, secured a $100M Series C funding round led by Google Ventures, valuing the company at $1.5B, with plans to expand its AI capabilities in the professional services sector. Cohere launched Rerank 3 Nimble, a new foundation model for enterprise search and RAG systems, offering 3x faster performance than its predecessor while maintaining accuracy and supporting 100+ languages. Elon Musk proposed a $5 billion Tesla investment into xAI, subject to shareholder and board approval, potentially boosting Tesla's AI leadership and FSD capabilities.
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Meta's latest large language model, Llama-3, has taken the tech world by storm. The company boasts it's the most powerful open-source model available, offering advanced reasoning capabilities. Industry experts have been anticipating Llama-3's release, with early versions surpassing competitors like GPT-4 and Gemini in reasoning and performance. This development intensifies competition in the booming large language model market. Meta's offering positions them as a serious contender against established leaders like Microsoft, OpenAI, and Google. While the cost of developing these models is significant, the potential rewards are even greater. The race is on to create the world's first true artificial general intelligence (AGI), a system capable of human-level tasks. All eyes are now on OpenAI's rumored GPT-5. The battle for the next AI breakthrough has begun, with analysts and enthusiasts eagerly awaiting the next chapter. #meta #techgiants #ai #genai #generativeai #chatbots #llm #llama3 #technology #innovation #technologynews
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Project Manager | Business Consultant | Digital Technology Expert | Innovation Market Analyst | Strategist
#OpenAI and #Meta are set to unveil their most advanced #AI models yet, focusing on improving reasoning and planning abilities. These models go beyond basic language generation to think through problems and find solutions. OpenAI's COO and Meta's VP of AI research highlight the importance of memory and reasoning in these models. The upcoming releases, like OpenAI's GPT-5 and Meta's Llama 3, represent significant progress towards artificial general intelligence (#AGI), with other big players like Google also working on similar advancements. The potential value of achieving AGI might be immense for the pioneering company. Former Meta executive John Carmack has likened AGI to AI's "big brass ring," predicting it to be a trillion-dollar industry by the 2030s. https://lnkd.in/dz-gRiAv
OpenAI And Meta Models Will Soon Have 'Reasoning' Capabilities | Entrepreneur
entrepreneur.com
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Llama 3's May arrival: Should OpenAI fear the competition? #AICompetitor 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Meta executives announced the upcoming release of Llama 3, an open-source large language model with 140 billion parameters, twice the capacity of Llama 2. The model will power Meta AI and be integrated across Meta's products. The open-source strategy challenges OpenAI's dominance and aims to foster innovation in AI development. The release of Llama 3 is expected to pave the way for a new generation of language models that could potentially surpass commercial offerings like GPT-4. The open-source community's involvement could make it harder for proprietary models to attract users in the future. Hashtags: #chatGPT #Llama3 #OpenAIWorries
Llama 3's May arrival: Should OpenAI fear the competition? #AICompetitor
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Mark Zuckerberg's recent Meta AI manifesto positions him and his company in a new light. Zuckerberg, previously associated with controversies and data privacy scandals, is attempting to rebrand himself as a leader in responsible AI development through open-source initiatives. Zuckerberg's letter came at the launch of Meta’s Llama 3.1 405B – the latest version update to their Llama series of large language models (LLMs). Llama 3.1 made history by becoming the world’s largest open-source LLM till date with 405 billion parameters, overtaking NVIDIA’s Nemotron-4-340B-Instruct which has 340 billion parameters in comparison. We analyse the manifesto's content, trying to explore Zuckerberg's motivations for open-sourcing AI technology and the potential benefits and challenges associated with this strategy. And does this ultimately help him repair his damaged public image by embracing a more transparent and collaborative approach to AI advancement? #AI #LLM #Llama #FoundationalModel #MarkZuckeberg #MetaAI
Meta AI manifesto: The AI-assisted resurrection of Mark Zuckerberg
https://www.digit.in
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The leapfrogging of #genai models goes on ... now Reka AI has released Reka Core, "a multimodal language model capable of processing text, image, video, and audio inputs." The claim that they are comparable and sometimes outperform better-known models from OpenAI, Anthropic and Google in a set of synthetic benchmarks. Now of course benchmarks tell you only so much, and there may be other benchmarks where other models are ahead, but it's definitely astonishing that they achieved such a position after being founded only in 2022. Of course their founders didn't start at zero as they are "researchers from Google’s #DeepMind, Chinese tech giant Baidu, Inc., and Meta." #llm #generativeai #largelanguagemodels 29
New AI Model Reka Rises to Challenge ChatGPT, Claude and Llama-3—And It's Free - Decrypt
decrypt.co
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META just changed the rules of the game... 🚀 The AI landscape has been fundamentally transformed with the introduction of Meta's LLaMA 3 model (Large Language Model Meta AI). This isn't just an update; it's a revolution in the AI field. Why does it matter so much? Let’s quickly break it down: 1. The model is extremely powerful: LLaMA 3’s testing benchmarks rival that of other LLM behemoths in the field, such as OpenAI’s ChatGPT-4, Anthropic’s Claude, or Google’s Gemini. 2. Open for anyone: Breaking from the pack, Meta has made LLaMA 3 open source. This continues the democratization trend in AI generative models, allowing developers worldwide to download and use the model on their own local machines. 🌍 3. Compactness: LLaMA 3 boasts 70 billion parameters, yet it competes head-to-head with the behemoths like GPT-4, which have over 1.7 trillion. Essentially, META’s model is as smart as ChatGPT-4, but for way less space and requiring much less processing power. With the advent of powerful open-source models such as LLaMA 3 and the Mistral model, LLMs open for everyone to download and program into apps have quickly caught up to the closed source models. Hence LLM technology is further being decentralized. As much as this poses a great benefit for the tech community and people in general, it also poses many challenges if it is used by bad actors. What do you think?
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🔥 The AI battle continues! Meta just upgraded its LLM to Llama 3! 🦙 💨 Big tech is pushing AI updates at lightning speed 💪 Meta AI dropped Llama 3 to keep up with the competition 💻 Could be a big deal for coding, writing, and more! ➡️ Learn all about it on our blog below #AI #LLM #MetaAI #Llama3 #ArtificialIntelligence #Machinelearning
No Drama, Just Llama: Exploring Meta AI Llama 3 Model
https://techpilot.ai
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Meta's Llama 3 outperforms Gemini, Claude 3, but lacks GPT-4 #AIrevolution 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Meta Platforms Inc. announced the success of its new AI model, Llama 3, in benchmark tests, surpassing models from Google, Anthropic, and Mistral AI. The model, available in 8B and 70B parameters, showed improvements in text-based responses, diversity in prompts, reasoning abilities, understanding of instructions, and code-writing capabilities. Notably, OpenAI's GPT-4 was missing from the comparison. Meta highlighted the limitations of benchmark testing and the upcoming release of OpenAI's GPT-5. Other AI models like Anthropic's Claude 3 and Elon Musk's xAI have also shown advancements. Hashtags: #chatGPT 1. #MetaLlama3vsGemini 2. #AnthropicClaude3vsGPT4
Meta's Llama 3 outperforms Gemini, Claude 3, but lacks GPT-4 #AIrevolution
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Digital Transformation Leader, Award-winning Innovator, Board Member, Artificial Intelligence Strategist, Quantum Computing Explorer, Oxford Chevening Fellow
Meta has released a new series of powerful AI models and a manifesto forcefully advocating for the open-source approach. The document serves as both a philosophical treatise and a rallying cry for proponents of open-source AI. Meta has taken on a very different strategy with AI compared to its competitors OpenAI, Google DeepMind and Anthropic. Those companies sell access to their AIs a strategy that allows them to protect their intellectual property, monitor the use of their models, and bar bad actors from using them. By contrast, Meta has chosen to open-source the “weights,” or the underlying neural networks, of its Llama models—meaning they can be freely downloaded by anybody and run on their own machines. That strategy has put Meta’s competitors under financial pressure, and has won it many fans in the software world. But Meta’s strategy has also been criticized by many in the field of AI safety, who warn that open-sourcing powerful AI models has already led to societal harms like deepfakes, and could in future open a Pandora’s box of worse dangers. #meta #ai #generativeai #llm #opensource #llama #model https://lnkd.in/g7XX_iY4
Mark Zuckerberg Just Intensified the Battle for AI’s Future
time.com
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