Devlogs: October 2025 > 자유게시판

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DeepSeek is the identify of the Chinese startup that created the DeepSeek-V3 and DeepSeek-R1 LLMs, which was founded in May 2023 by Liang Wenfeng, an influential figure in the hedge fund and AI industries. Researchers with the Chinese Academy of Sciences, China Electronics Standardization Institute, and JD Cloud have published a language mannequin jailbreaking technique they call IntentObfuscator. How it works: IntentObfuscator works by having "the attacker inputs dangerous intent textual content, normal intent templates, and LM content material security guidelines into IntentObfuscator to generate pseudo-professional prompts". This know-how "is designed to amalgamate harmful intent textual content with different benign prompts in a manner that kinds the ultimate prompt, making it indistinguishable for the LM to discern the real intent and disclose dangerous information". I don’t suppose this method works very nicely - I tried all of the prompts in the paper on Claude three Opus and none of them worked, which backs up the concept that the bigger and smarter your mannequin, the extra resilient it’ll be. Likewise, the company recruits individuals without any computer science background to assist its know-how perceive different subjects and information areas, including with the ability to generate poetry and carry out nicely on the notoriously tough Chinese faculty admissions exams (Gaokao).

What position do we have over the event of AI when Richard Sutton’s "bitter lesson" of dumb methods scaled on massive computer systems keep on working so frustratingly properly? All these settings are something I'll keep tweaking to get one of the best output and I'm additionally gonna keep testing new fashions as they change into out there. Get 7B versions of the fashions right here: DeepSeek (DeepSeek, GitHub). That is imagined to get rid of code with syntax errors / poor readability/modularity. Yes it's better than Claude 3.5(presently nerfed) and ChatGpt 4o at writing code. Real world take a look at: They examined out GPT 3.5 and GPT4 and found that GPT4 - when outfitted with tools like retrieval augmented knowledge technology to entry documentation - succeeded and "generated two new protocols utilizing pseudofunctions from our database. This ends up utilizing 4.5 bpw. In the second stage, these consultants are distilled into one agent using RL with adaptive KL-regularization. Why this issues - artificial data is working all over the place you look: Zoom out and Agent Hospital is one other instance of how we can bootstrap the efficiency of AI techniques by carefully mixing synthetic data (affected person and medical skilled personas and behaviors) and real knowledge (medical data). By breaking down the obstacles of closed-supply fashions, deepseek ai china-Coder-V2 may lead to extra accessible and powerful tools for developers and researchers working with code.

The researchers have additionally explored the potential of DeepSeek-Coder-V2 to push the limits of mathematical reasoning and code generation for big language fashions, as evidenced by the related papers DeepSeekMath: Pushing the boundaries of Mathematical Reasoning in Open Language and AutoCoder: Enhancing Code with Large Language Models. The reward for code problems was generated by a reward model skilled to predict whether a program would move the unit checks. The reward for math problems was computed by evaluating with the bottom-reality label. DeepSeekMath 7B achieves spectacular efficiency on the competition-level MATH benchmark, approaching the level of state-of-the-artwork models like Gemini-Ultra and GPT-4. On SantaCoder’s Single-Line Infilling benchmark, Codellama-13B-base beats Deepseek-33B-base (!) for Python (but not for java/javascript). They lowered communication by rearranging (every 10 minutes) the exact machine every knowledgeable was on with a view to keep away from sure machines being queried extra typically than the others, adding auxiliary load-balancing losses to the training loss operate, and other load-balancing methods. Remember the third downside in regards to the WhatsApp being paid to make use of? Check with the Provided Files table beneath to see what information use which methods, and how. In Grid, you see Grid Template rows, columns, areas, you selected the Grid rows and columns (start and finish).

And at the top of all of it they started to pay us to dream - to shut our eyes and imagine. I nonetheless suppose they’re value having in this record due to the sheer number of models they have out there with no setup in your end aside from of the API. It’s significantly extra efficient than other models in its class, will get nice scores, and the analysis paper has a bunch of details that tells us that DeepSeek has built a crew that deeply understands the infrastructure required to train formidable fashions. Pretty good: They practice two types of mannequin, a 7B and a 67B, then they examine efficiency with the 7B and 70B LLaMa2 models from Facebook. What they did: "We prepare brokers purely in simulation and align the simulated surroundings with the realworld atmosphere to allow zero-shot transfer", they write. "Behaviors that emerge while coaching agents in simulation: trying to find the ball, scrambling, and blocking a shot…

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