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DeeperML
anket.sah@lambda.ai (Anket@lambdalabs.com
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DeepSeek's latest model, R1-0528, is now available on Lambda’s Inference API, marking an upgrade to the original R1 model released in January 2025. The new model, built upon the deepseek_v3 architecture, boasts a blend of mathematical capabilities, code generation finesse, and reasoning depth, aiming to challenge the dominance of OpenAI’s o3 and Google’s Gemini 2.5 Pro. DeepSeek-R1-0528 employs FP8 quantization, enhancing its ability to handle complex computations efficiently and features a mixture-of-experts (MoE) model with multi-headed latent attention (MLA) and multi-token prediction (MTP), enabling efficient handling of complex reasoning tasks.
DeepSeek-R1-0528, while a solid upgrade, didn't generate the same excitement as the initial R1 release. When R1 was released in January 2025, it was seen as a watershed moment for the company. This time around, it's considered a solid model for its price and status as an open model, and is best suited for tasks that align with its specific strengths. The initial DeepSeek release created a "DeepSeek moment", leading to market reactions and comparisons to other models. The first R1 model was released with a free app featuring a clear design and visible chain-of-thought, which forced other labs to follow suit.
While DeepSeek R1-0528 offers advantages, experts warn of potential risks associated with open-source AI models. Cisco issued a report shortly after R1 began dominating headlines which claimed DeepSeek failed to block a single harmful prompt when tested against 50 random prompts taken from the HarmBench dataset. These risks include potential misuse for cyber threats, spread of misinformation, and reinforcement of biases. There are concerns regarding data poisoning, where compromised training data could lead to biased or disinformation. Furthermore, adversaries could modify the models to bypass controls, generate harmful content, or embed backdoors for exploitation.
References :
DeepSeek-R1-0528, while a solid upgrade, didn't generate the same excitement as the initial R1 release. When R1 was released in January 2025, it was seen as a watershed moment for the company. This time around, it's considered a solid model for its price and status as an open model, and is best suited for tasks that align with its specific strengths. The initial DeepSeek release created a "DeepSeek moment", leading to market reactions and comparisons to other models. The first R1 model was released with a free app featuring a clear design and visible chain-of-thought, which forced other labs to follow suit.
While DeepSeek R1-0528 offers advantages, experts warn of potential risks associated with open-source AI models. Cisco issued a report shortly after R1 began dominating headlines which claimed DeepSeek failed to block a single harmful prompt when tested against 50 random prompts taken from the HarmBench dataset. These risks include potential misuse for cyber threats, spread of misinformation, and reinforcement of biases. There are concerns regarding data poisoning, where compromised training data could lead to biased or disinformation. Furthermore, adversaries could modify the models to bypass controls, generate harmful content, or embed backdoors for exploitation.
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References :
- lambda.ai: DeepSeek-R1-0528: The Open-Source Titan Now Live on Lambda’s Inference API
- thezvi.wordpress.com: DeepSeek-r1-0528 Did Not Have a Moment
- thezvi.substack.com: DeepSeek-r1-0528 Did Not Have a Moment
Classification:
- HashTags: #DeepSeek #OpenSourceAI #ReasoningAI
- Company: DeepSeek
- Target: AI Researchers
- Product: R1-0528
- Feature: AI Model
- Type: AI
- Severity: Informative