Generative AI’s Post

Even though DeepSeek’s performance is commendable compared to US based models, I will still be very cautious of using DeepSeek because of unknowns about data handling and privacy concerns like “who” is using and with whom is this information being shared 😟 Like information in my prompts, personal info during account set up, automatically collected info about IP, Device identifiers, cookies etc. Once these security concerns are alleviated I would definitely use this model for some use cases. 😊

And while most of the Internet is frenetically swooning over DeepSeek’s first shockwave… here comes the encore. Janus-Pro-7B excels in both image understanding and generation. It’s beating industry leaders like OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion. This model shines across key benchmarks, including GenEval and DPG-Bench1210. 1. Multimodal Capabilities ↳ Handles both text and images seamlessly ↳ Ideal for text-to-image generation, visual question answering, and image analysis 2. Novel Architecture ↳ Decouples visual encoding into separate pathways ↳ Uses a unified transformer framework for enhanced performance 3. Outperforms Industry Leaders ↳ Beats OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion ↳ Tops benchmarks like GenEval and DPG-Bench1210 4. Versatility and Flexibility ↳ Resolves conflicts between understanding and generation tasks ↳ Perfect for diverse applications in AI 5. Unified Framework ↳ Leverages a unified transformer for both understanding and generation ↳ Enhances both flexibility and performance 6. Groundbreaking Performance ↳ Sets new standards in image understanding and generation ↳ A game-changer in the AI community Janus-Pro-7B: It’s a new multimodal AI model that’s making waves.

Exciting news! Janus-Pro-7B's performance on GenEval and DPG-Bench benchmarks highlights how fast the generative AI space is evolving. These advancements push the boundaries of what's possible with AI. At Kitchain.ai, we’re always exploring how cutting-edge models can integrate into workflows to drive real value. Can’t wait to see how this shapes up in real-world applications! 

Wow, this is a significant development in the world of generative AI. Janus-Pro-7B seems to have surpassed DALL-E 3 in terms of performance, which is impressive. I believe this will lead to even more advancements in the field of AI, especially in the area of image and text generation. It's exciting to see DeepSeek pushing the boundaries of what's possible with open-source AI models. I can't wait to see what other breakthroughs they will achieve in the future.

Janus-Pro-7B's performance on GenEval and DPG-Bench benchmarks is truly impressive. As open-source AI continues to push boundaries, this innovation not only fuels competition but also empowers the tech community to explore new possibilities. 🚀

Janus-Pro-7B is setting a new standard in generative AI! With its stellar performance on GenEval and DPG-Bench, it’s clear that open-source models are ready to take over. The innovation happening right now is incredible—can't wait to see the impact this will have on the AI landscape. 

From the tech-report of Deepseek：“We evaluate Janus-Pro on multiple benchmarks, and the results reveal its superior multi￾modal understanding capabilities and significantly improved text-to-image instruction-following performance. Specifically, Janus-Pro-7B achieved a score of 79.2 on the multimodal understand￾ing benchmark MMBench [29], surpassing state-of-the-art unified multimodal models such as Janus [46] (69.4), TokenFlow [34] (68.9) and MetaMorph [42] (75.2). Additionally, in the text-to￾image instruction-following leaderboard GenEval [14], Janus-Pro-7B scores 0.80, outperforming Janus [46] (0.61), DALL-E 3 (0.67), and Stable Diffusion 3 Medium [11] (0.74). ”

This is exciting and amazing to see the progress!

Generative AI...thanks for the post..I created a LinkedIn poll, to gauge enterprise interest in Deepseek AI...should be interesting to see what the sentiment is in terms of potential pros (cost, functionality and performance) vs. the potential risks (cybersecurity, compliance, data privacy and censorship): https://www.linkedin.com/posts/vincentdangelo_deepseek-artificialintelligence-aiadoption-activity-7289655989996302336-aPcS/

Impressive milestone for DeepSeek and a huge win for efficiency in AI! 🚀 Innovations like Mixture-of-Experts and FP8 quantization show that smart design can compete with brute-force compute. This could be a turning point for the global AI landscape, especially with open-source leading the charge. Excited to see how this shapes the future! 🌍💡 #AI #DeepSeek #OpenSource