🏆 Llama-3 goes head-to-head with GPT-4 Lmsys just published a new deep dive into its Chatbot Arena data, comparing Meta’s open-source Llama 3 70B model against top models like GPT-4 — revealing surprising strengths in the open-source leader. Llama-3 is the top open-source model on the Lmsys Leaderboard, featuring over 70,000 votes from users in Arena Battle testing. Meta’s model shines in battles involving brainstorming and writing prompts, falling short in math, coding, and translation compared to top competitors. Lmsys noted Llama-3’s tone is friendlier and more conversational than rivals, which the model exhibits in its victorious battles in the Arena.
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Exciting news for the AI community! OpenAI has just announced the availability of fine-tuning for GPT-4o and GPT-4o mini to all developers on paid usage tiers. This is a game-changer for those looking to achieve higher performance at a lower cost across specific use cases. Coding, crafting creative content, or tackling complex domain-specific tasks… fine-tuning can significantly boost your model’s effectiveness. OpenAI is also offering 1M to 2M training tokens per day for free until September 23. Now’s the time to explore what fine-tuning can do for your AI projects. Ready to dive in? Head over to the fine-tuning dashboard and start experimenting today! Don’t know where to start? Message us and we’ll assist. First 5 requests receive free consultations from Prompted LLC #AI #GPT4o #FineTuning #MachineLearning #OpenAI #Innovation https://lnkd.in/gtCN3Rxp
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As of today, fine-tuning is available for GPT-4o. This will enable the developers to fine-tune GPT-4o with custom datasets to get higher performance at a lower cost for their specific use cases. ,#OpenAI #finetuning #GenAI #GenerativeAI https://lnkd.in/dvEdC5s4
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As of today, fine-tuning is available for GPT-4o. This will enable the developers to fine-tune GPT-4o with custom datasets to get higher performance at a lower cost for their specific use cases. #OpenAI #finetuning #GenAI #GenerativeAI #demircihukukbürosu
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As of today, fine-tuning is available for GPT-4o. This will enable the developers to fine-tune GPT-4o with custom datasets to get higher performance at a lower cost for their specific use cases. ,#OpenAI #finetuning #GenAI #GenerativeAI https://lnkd.in/dvEdC5s4
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Developers can now fine-tune GPT-4o with custom datasets to get higher performance at a lower cost for their specific use cases. Fine-tuning enables the model to customize structure and tone of responses, or to follow complex domain-specific instructions. Developers can already produce strong results for their applications with as little as a few dozen examples in their training data set. From coding to creative writing, fine-tuning can have a large impact on model performance across a variety of domains. This is just the start—we’ll continue to invest in expanding our model customization options for developers. #openai #ai #llm #chatgpt https://lnkd.in/gpsZDGU6
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xAI has released Grok 2! Interestingly they are including a smaller, more performant "mini" version, following OpenAI's lead with GPT-4o; and working with Blackforest Labs and the very new Flux model for image generation capabilities. #largelanguagemodels #generativeai https://x.ai/blog/grok-2
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Just finished Getting Hands-On with GPT-4: Tips and Tricks! Check it out: https://lnkd.in/ggd5u73V
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OpenAI has just launched fine-tuning for GPT-4o, making it easier for developers to tailor the model to their unique applications. This upgrade promises improved accuracy and performance. • The cost of fine-tuning is $25 per million tokens, with inference charges at $3.75 per million input tokens and $15 per million output tokens. • OpenAI is generously providing 1 million free training tokens daily through September 23. • Success stories are already emerging: Cosine Genie AI hit a 43.8% score on SWE-bench Verified, and Distyl ranked 1st on BIRD-SQL with 71.83% accuracy. Source: https://lnkd.in/eym5xvEG
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Today, OpenAI has just launched fine-tuning for GPT-4o, one of the most anticipated features. Take advantage of 1M FREE TRAINING tokens per day through September 23. It's the perfect time to innovate and see how fine-tuning can elevate your projects. For those exploring on a smaller scale, GPT-4o mini offers 2M FREE TRAINING tokens per day. GPT-4o fine-tuning costs $25 per million tokens, with inference at $3.75 per million input tokens and $15 per million output tokens. #OpenAI #GenAI #GPT4o #FineTuning #Innovation #TechNews
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Hit a milestone on the YouTube channel last week! 1000 subscribers is a pretty great milestone that I’m very humbled by. Thanks so much if I can count you in that number!! I’d promised myself that at this milestone I’d revisit some of the details around an app I’d built. Upon returning to the app I realized that with todays GPT-4o capabilities I would completely redesign my approach. The resulting video is a description of that approach. Getting details out of complex PDF layouts, tuning that data for my needs, and getting ready to create a RAG AI architecture. (Reply with a laugh if I lost you there 😅) I’m impressed 4o changed my approach to such a simple application that already had a lot going for it! Looking forward to seeing what else will change as we revisit existing “cutting edge” applications with another year of improvements under our belt! PDF Parsing has changed in GPT-4o - 1000 Subscriber Highlight https://lnkd.in/dUi-Nast #ai #aiarchitecture #gpt4o #youtube #milestone
PDF Parsing has changed in GPT-4o - 1000 Subscriber Highlight
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Just finished Getting Hands-On with GPT-4: Tips and Tricks!
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