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Anthropic Open-Sources MCP: Revolutionizing LLM Applications
Anthropic's MCP revolutionizes LLMs with seamless data integration, eliminating custom code. Unlock powerful AI connections with this open-source…
Nov 26
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Meng Li
5
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Anthropic Open-Sources MCP: Revolutionizing LLM Applications
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Cosmos: NVIDIA's Open-Source SOTA Tokenizer for Video Generation and Robotics
Discover the role of tokenizers in image and video generation. Explore NVIDIA's Cosmos Tokenizer, offering SOTA performance, fast encoding, and…
Nov 24
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Meng Li
1
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Cosmos: NVIDIA's Open-Source SOTA Tokenizer for Video Generation and Robotics
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AirLLM: Breaking Memory Limits, Running 70B Models on a 4GB GPU
Run large language models like Qwen 70B on just 4GB GPU with AirLLM. Optimize memory and speed with dynamic loading, quantization, and more.
Nov 2
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Meng Li
2
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AirLLM: Breaking Memory Limits, Running 70B Models on a 4GB GPU
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Ilya: Predicting the Next Token is Understanding the World
A 44-second clip of Ilya Sutskever explaining AI's next-word prediction to NVIDIA's Jensen Huang has sparked Reddit discussions on AI understanding and…
Oct 20
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Meng Li
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Ilya: Predicting the Next Token is Understanding the World
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Ollama's Epic Upgrade: One-Click to Run 45K Huggingface and hf-mirror GGUF Models
Easily run 45K Huggingface GGUF models with Ollama's latest upgrade. Simple commands, no more manual downloads or Modelfile setups!
Oct 19
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Meng Li
2
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Ollama's Epic Upgrade: One-Click to Run 45K Huggingface and hf-mirror GGUF Models
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First 100% Open-Source MoE Model: 7B Parameters, 1B Inference Cost
Fully open-source MoE model OLMoE offers cutting-edge performance with 7B parameters and 1B inference cost, optimizing training efficiency.
Sep 5
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Meng Li
2
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First 100% Open-Source MoE Model: 7B Parameters, 1B Inference Cost
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Jamba 1.5: The New 256K Context Benchmark in AI Speed
Discover AI21's Jamba 1.5 models: unmatched speed, 256K context length, and hybrid architecture for superior efficiency and quality. Ideal for…
Aug 24
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Meng Li
1
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Jamba 1.5: The New 256K Context Benchmark in AI Speed
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Top 3 Phi 3.5 Models by Microsoft: Small But Powerful AI Innovations
Explore Microsoft's new Phi 3.5 models—Mini Instruct, MoE, Vision Instruct—available on Hugging Face for advanced AI tasks with an MIT license.
Aug 21
•
Meng Li
2
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Top 3 Phi 3.5 Models by Microsoft: Small But Powerful AI Innovations
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Deploying Multiple LoRA Adapters on a Single Base Model Using vLLM
Optimize large language models by deploying multiple LoRA adapters with vLLM for seamless task specialization without delay. Learn more in our guide.
Aug 16
•
Meng Li
1
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Deploying Multiple LoRA Adapters on a Single Base Model Using vLLM
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Unlock the Power of LLMs Without the Cloud: Your Ultimate Guide to Ollama
Explore Ollama: an open-source tool for deploying and managing LLMs locally or on servers. Learn about setup, customization, and OpenAI compatibility in…
Aug 16
•
Meng Li
3
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Unlock the Power of LLMs Without the Cloud: Your Ultimate Guide to Ollama
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The First Pure Attention-Free Large Model Surpasses Open-Source Giant Llama 3.1
Falcon Mamba 7B: A new open-source model challenging Transformer, handling infinite sequences on a single GPU. Now outperforming Llama 3.1.
Aug 13
•
Meng Li
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The First Pure Attention-Free Large Model Surpasses Open-Source Giant Llama 3.1
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Surprising Truths About GPU Memory for Large Models: How Much Do You Really Need?
Learn how to accurately estimate GPU memory for training large models like Llama-6B, including memory changes with fp32, fp16, and int8 precision.
Aug 11
•
Meng Li
2
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Surprising Truths About GPU Memory for Large Models: How Much Do You Really Need?
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