Sublime

🍵What is AutoMQ

AutoMQ is a cloud-native, serverless reinvented Kafka that is easily scalable, manage-less and cost-effective.

🔶Why AutoMQ

• Cloud Native : Built on cloud service. Every system design decision take cloud service's feature and billing items into consideration to offer best low-latency, scalable, reliable and cost-effective Kafka serv

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The Nemotron-3 8B family is available in the Azure AI Model Catalog, HuggingFace, and the NVIDIA AI Foundation Model hub on the NVIDIA NGC Catalog. It includes base, chat, and question-and-answer (Q&A) models that are designed to solve a variety of downstream tasks. Table 1 shows the full family of foundation models.

Model

Variant

Key Benefit

Ba... See more

Qwen-14B is the 14B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-14B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-14B, we release Qwen-14B-Chat, a lar... See more

2-5x faster 50% less memory local LLM finetuning

• Manual autograd engine - hand derived backprop steps.


• 2x to 5x faster than QLoRA. 50% less memory usage.


• All kernels written in OpenAI's Triton language.


• 0% loss in accuracy - no approximation methods - all exact.


• No change of hardware necessary. Supports NVIDIA GPUs since 2018+. Minimum CUDA Compute Cap

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🤖 Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

• Why CrewAI


• Getting Started


• Key Features


• Examples


• Local Open Source Models


• CrewAI x AutoGen x ChatDev


• Contribution


• 💬 CrewAI Discord Community


• Hire Consulting


• Licen

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pair-preference-model-LLaMA3-8B by RLHFlow: Really strong reward model, trained to take in two inputs at once, which is the top open reward model on RewardBench (beating one of Cohere’s).

DeepSeek-V2 by deepseek-ai (21B active, 236B total param.): Another strong MoE base model from the DeepSeek team. Some people are questioning the very high MMLU sc... See more