Deci AI @deci_ai
Deci’s deep learning acceleration platform empowers developers to build, optimize, and deploy blazing-fast models on any hardware. hubs.ly/Q02jrxVS0 Israel Joined October 2019-
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It’s day 4 of our 11 Days of Inference Acceleration Techniques. Today, we’re moving on to runtime level optimization best practices. 𝐅𝐨𝐮𝐫𝐭𝐡 𝐭𝐢𝐩: 𝐓𝐚𝐤𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐨𝐟 𝐠𝐫𝐚𝐩𝐡 𝐜𝐨𝐦𝐩𝐢𝐥𝐚𝐭𝐢𝐨𝐧 📈 Graph compilers such as TVM, Tensor-RT, and OpenVino…
Our third inference acceleration technique recommendation is pretty straightforward: ⚙️ 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫 𝐚𝐝𝐨𝐩𝐭𝐢𝐧𝐠 𝐚 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐚𝐰𝐚𝐫𝐞 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐦𝐨𝐝𝐞𝐥 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Production-aware model development takes…
It’s day 2 of our 11 Days of Inference Acceleration Techniques. Today, we’re sharing another tip related to hardware. ⚙️ 𝐊𝐧𝐨𝐰 𝐚𝐧𝐝 𝐠𝐞𝐭 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐨𝐮𝐭 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞. In situations where the inference hardware is already defined, you have to make…
📊 Inference is critical to the entire user experience, especially for applications requiring strict performance metrics such as autonomous vehicles and healthcare. The scale of inference is usually much larger than that of training, and the demand for cost-efficient compute…
📈 #LLM evaluation methods fall into two main categories: automatic and human-in-the-loop. In this guide, discover the pros and cons of four LLM evaluation methods, equipping you to choose the right evaluation strategy for your LLM needs. 👉 Read now > deci.ai/blog/llm-evalu…
✨ Discover how advanced Qualcomm SNPE quantization techniques help maintain FP32 accuracy while improving latency for YOLO object detection models on Qualcomm Snapdragon devices. Read now > deci.ai/blog/qualcomm-… #deeplearning #computervision #neuralnetworks #yolo
🔎 YOLO-NAS-Sat is part of a broader family of highly efficient foundation models, including YOLO-NAS for standard object detection, YOLO-NAS Pose for pose estimation, and DeciSegs for semantic segmentation, all generated through AutoNAC. Learn more > deci.ai/computer-visio…
MoE, Frankenmerging, SLERP, and Task Vector Algorithms are methods for language model merging, which is a cost-effective way to combine useful LLM skills, usually without the need for fine-tuning. Here’s an overview that outlines the key characteristics of each model merging…
Learn how a new and tailored image classification model not only maintained baseline accuracy but also boosted throughput by 3X, enhancing the overall efficiency of this manufacturing company’s solution. ⬇️ deci.ai/resources/appl… #computervision #deeplearning #neuralnetworks
🐉 On the hunt for a Qualcomm Snapdragon NPE quantization recipe for YOLO models? Hear from Lior Kadoch, Algo Tech Lead at Deci AI, the results of integrating optimized techniques, looking at the contribution of each method's impact on accuracy and overall performance. For a…
💸 The widespread adoption of LLMs faces a significant challenge: high #LLM inference cost. Learn why traditional optimization strategies fall short for #LLMs and how Infery-LLM’s advanced optimization techniques address this. Read now > deci.ai/blog/how-to-re… #generativeai
Generative AI is revolutionizing industries, but scalability and sustainability pose significant challenges. Discover strategies and best practices for building scalable and eco-friendly #generativeAI applications that drive your work and business forward. 🚀 🤦 Let's first…
Explore the Open LLM Leaderboard, LLM-as-a-Judge methods such as MT-Bench and AlpacaEval, and human evaluation platforms like Chatbot Arena, covering their benefits and limitations. 👉 Read now > deci.ai/blog/llm-evalu… #llms #largelanguagemodels #generativeai #llm
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33 Followers 72 FollowingI spent the last couple of days looking through the submitted papers, workshops, tutorials, and challenges for @CVPR #CVPR2024 Here's an awesome repo for what I'm most pumped about! 👇🏼 github.com/harpreetsahota…
Deci, an AI startup, recently unveiled its new AI development platform and a small model called Deci Nano. venturebeat.com/ai/deci-announ…
6/8 Deci launches Nano LLM & GenAI dev platform Israeli AI startup Deci has launched two major offerings: Deci-Nano, a small closed-source language model, and a complete Generative AI Development Platform for enterprises.
✨ Breaking Boundaries at @nvidia #GTC24! ✨ We were thrilled to feature some of our top #generativeAI startups from across the globe, including @perplexity_ai, @Articul8_AI, @bria_ai_, @Modular, @runailabs, @deci_ai. Shaping the future of technology. go.aws/3IU6xrV
GTC is here, and I'm excited to share that I'll be presenting a session on developing generative models that achieve exceptional quality and efficiency. Join me to explore the transformative potential of neural architecture search for generating resource-efficient LLMs such as…
BREAKING! Deci AI Unveils Generative AI Platform to Deliver High-Performance AI Models with Unmatched Cost Efficiency and Exceptional Control -- radicaldatascience.wordpress.com/2024/03/14/dec… @deci_ai #AI #LLM #LLMs #GenAI #GenerativeAI
One of our portfolio companies, @deci_ai, unveiled its DeciLM-7B, delivering outstanding performance with accuracy while requiring less resources. It’s at the forefront of large language models. 🤝 #R136portfolio
@deci_ai @geifman_y Tomorrow on @OReillyMedia's What's new in AI, join us for a live conversation with @ericxing President @mbzuai, Professor @CarnegieMellon, Founder and Chairman of @PetuumInc oreilly.com/live-events/wh…
💡 How should you think about speed vs. accuracy with AI workloads? Hear how @deci_ai thinks about balancing the tradeoffs. Learn more about their approach - watch the full video: msft.it/6018cOwHK
LLMs like @OpenAI's GPT and @MistralAI's Mixtral are playing an increasingly important role in AI applications. However, LLMs face the challenge of hallucinations – inaccuracies that arise when they fabricate information in response to uncertainty. These errors can be influenced…
I'm not interested in the startup raising $8 trillion to build infrastructure AI. I'm interested in the one that only wants $1 billion. Optimization is acceleration. Acceleration is the next battleground.
.@MIT researchers looked at whether or not AI was more cost-effective in 1,000 visually assisted tasks in 800 occupations. They found that in many cases it was more expensive to install and maintain AI systems than for a human to perform the same tasks. 1/n…
What's next in AI is difficult to predict without a holistic view. Get 12 expert takes in this post about the biggest trends in AI for 2024. Thank you, @deci_ai & @DataScienceHarp, for including me. deci.ai/blog/expert-in…
Nice to be in this list of awesome people!
“#RAG, Smaller Specialist Models. Swarms of LoRA fine-tuned models should likely outperform larger single generalized models - making these kinds of models more competitive at lower costs.” - @llm_wizard
That's ~1.1M tokens per second -> at least 10,000 GPUs for inference -> ~$1M inference cloud cost per day. Gen AI inference is expensive...
openai now generates about 100 billion words per day. all people on earth generate about 100 trillion words per day.
SuperGradients is @deci_ai’s open-source training library for training or fine-tuning SOTA computer vision models. github.com/Deci-AI/super-… 2/n
Explore how to select efficient models designed for object detection on edge hardware, and discover cutting-edge tools and techniques that can boost throughput and hardware utilization. Join now > info.deci.ai/video-analytic…
@deci_ai @Microsoft @Azure Congratulations on this incredible achievement!
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