On January 20, 2025, Chinese AI startup DeepSeek unveiled R1, an open-source large language model (LLM) that is redefining industry expectations. Designed to offer performance on par with proprietary ...
The development of DeepSeek v2.5 involved the fusion of two highly capable models: DeepSeek version 2 0628 and DeepSeek Coder version 2 0724. By combining the strengths of these models, DeepSeek v2.5 ...
The explosion of open-source AI frameworks has given developers unprecedented flexibility in deploying AI models. Portkey, an open-source AI gateway, simplifies AI model orchestration by providing a ...
Open-source based large language models like Dolly are in high demand as enterprises want to use them for targeted or specific use cases, analysts said. Databricks has released an open-source based ...
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Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of Abacus.AI, New York University, ...
AI and ML security platform Protect AI has integrated a widely used, open source large language model (LLM) security tool — LLM Guard — into existing offerings after acquiring its developer Laiyer AI.
Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...
Meta has a brand-new Llama to show off. On Thursday, the social media giant announced Llama 3, the next version of its open-source model for the Meta AI assistant, which it hopes will make its chatbot ...
For enterprise leaders aiming to decentralize their AI workloads, Gemma 4 12B offers a rare combination of edge-friendly efficiency and frontier-class reasoning.
When Meta released its large language model Llama 3 for free this April, it took outside developers just a couple days to create a version without the safety restrictions that prevent it from spouting ...
DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
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