The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and for other tasks. Here are videos that guide people through using the models. There will soon be many options for Deepseek variants …
Altimeter Capital analyst and partner puts what Deepseek claims and results into numbers. $6M Training Costs = Plausible IMO Quick math: Training costs ∝ (active params * tokens). DeepSeek v3 (37B params; 14.8T tokens) vs. Llama3.1 (405B params; 15T tokens) = v3 theoretically should be 9% of Llama3.1’s cost. And the disclosed actual figures aligned …
Langchain used ollama to install Deepseek 14B on a laptop. They used for a local deep researching model. $ ollama pull deepseek-r1:14b $ export TAVILY_API_KEY= $ uvx –refresh –from “langgraph-cli[inmem]” –with-editable . –python 3.11 langgraph dev Brian WangBrian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. …
Making AI to 10 to 30 times more efficient for AI inference and getting more value from training will increase AI demand. Increased AI efficiency on training and inference will accelerate the improvement and usefulness of AI. Dr Know It All went over the DeepSeek paper and explains how they automated the Reinforcement Learning. AlphaZero …
DeepSeek just dropped a new open-source multmodal AI model, Janus-Pro-7B. It is MIT opensource license. It’s multimodal (can generate images) and beats OpenAI’s DALL-E 3 and Stable Diffusion across GenEval and DPG-Bench benchmarks. This comes on top of all the R1 hype. Here is the link to the Deepseek Janus 7B Github. NEWS: DeepSeek just …
Youtuber, Ominous Industries, ran a couple of versions of the DeepSeek R1 1.5B of models running locally on the NVIDIA Jetson Nan. The newly released distilled DeepSeek models were explroed. The DeepSeek R1 1.5B model delivers impressive performance with plenty of room to spare on the Jetson. He shows the installation process, followed by a …
The Opensource Deepseek R1 AI model is top notch in terms of math, reasoning and coding but it has a lot of bias and restrictions. Here is a video describing some of the examples. It will describe how to use VPNs to get around the China firewall. It provides a Chinese communist part version of …
Deepseek is freely available online for simple chat interface and charges far lower costs for heavy million+ token usage. The huge increase in capability with a team of just over 100 developers is causing panic at Meta and other AI companies. All AI competitors will have to rethink and rework what they are doing. Everyone …
Experimenters have had overnight tests confirming they have OPEN SOURCE DeepSeek R1 running at 200 tokens per second on a NON-INTERNET connected Raspberry Pi. This is a distilled smaller model than the OPenAI O1 class model. Folks, I think we have done it! If overnight tests are confirmed we have OPEN SOURCE DeepSeek R1 running …
100 person China startup DeepSeek just released the first Open Source Reasoning Model that matched the OpenAI o1 reasoning model. OpenAI was charging $200 per month to use the OpenAI o1 pro model. How did an unknown, 100 person startup with $0 VC funding produce a frontier open source model that rivaled OpenAI and Anthropic …
DeepSeek R1 is an open sourced model. DeepSeek is a Chinese AI research company backed by High-Flyer Capital Management, a quant hedge fund focused on AI applications for trading decisions. They have released models under open-source licenses like MIT. How did they match or even surpassing OpenAI’s O1: Reinforcement Learning Focus: DeepSeek-R1 and its variant, …