mnoorfawi

5 ms·

1.
Selective fine-tuning of Language Models with Spectrum(huggingface.co)
3 points by mnoorfawi 2y ago|0 comments
2.
More Than Fine: Multi-LoRA Support Now Available in Nvidia RTX AI Toolkit(blogs.nvidia.com)
1 points by mnoorfawi 2y ago|0 comments
3.
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering(arxiv.org)
2 points by mnoorfawi 2y ago|0 comments
4.
Show HN: Bayesian Neural Networks and Uncertainty for Inferring Unseen Classes(github.com)
3 points by mnoorfawi 2y ago|0 comments
5.
Entity Linking and Relationship Extraction with Relik in LlamaIndex(neo4j.com)
2 points by mnoorfawi 2y ago|0 comments
6.
An Introduction to Time Series Forecasting with Generative AI(databricks.com)
2 points by mnoorfawi 2y ago|0 comments
7.
Show HN: Python Compression Suite for Pandas DataFrames, CSV and Excel Files(github.com)
20 points by mnoorfawi 2y ago|3 comments
8.
Layerwise Recurrent Router for Mixture-of-Experts(arxiv.org)
1 points by mnoorfawi 2y ago|0 comments
9.
Show HN: Locality-Sensitive Hashing in Python for Faster Nearest Neighbor Search(github.com)
2 points by mnoorfawi 2y ago|0 comments
10.
Nvidia NVLink and Nvidia NVSwitch Supercharge Large Language Model Inference(developer.nvidia.com)
5 points by mnoorfawi 2y ago|0 comments
11.
Are emergent abilities in large language models just in-context learning?(techxplore.com)
1 points by mnoorfawi 2y ago|1 comments
12.
FalconMamba 7B: The first attention-free and general-purpose pure Mamba model(huggingface.co)
11 points by mnoorfawi 2y ago|0 comments
13.
AI orchestration: benefits, best practices, and tools(blog.n8n.io)
1 points by mnoorfawi 2y ago|0 comments
14.
Long Context RAG Performance of LLMs(databricks.com)
2 points by mnoorfawi 2y ago|0 comments
15.
Clustering the Manifold of the Embeddings Learned by Autoencoders(minimatech.org)
1 points by mnoorfawi 2y ago|0 comments
16.
Build a Knowledge Graph-Based Agent with Llama 3.1, Nvidia Nim, and LangChain(neo4j.com)
8 points by mnoorfawi 2y ago|0 comments
17.
Decoding How Nvidia's Latest RTX-Powered Tools Help Developers Accelerate AI(blogs.nvidia.com)
2 points by mnoorfawi 2y ago|0 comments
18.
Show HN: Recommendation engine with reinforcement learning and action embeddings(github.com)
1 points by mnoorfawi 2y ago|0 comments
19.
Mem0: The Memory Layer for Personalized AI(github.com)
2 points by mnoorfawi 2y ago|0 comments
20.
Show HN: Pytholog library – Logic programming and backtracking in Python(github.com)
1 points by mnoorfawi 2y ago|0 comments
21.
LAVE: Zero-Shot VQA Evaluation on Docmatix with LLMs(huggingface.co)
1 points by mnoorfawi 2y ago|0 comments
22.
Run Mistral 7B model using less than 4GB of memory on your Mac with CoreML(huggingface.co)
14 points by mnoorfawi 2y ago|0 comments
23.
Quantum Reservoir Computing Scales Up to 108 Qubits for Quantum Machine Learning(thequantuminsider.com)
1 points by mnoorfawi 2y ago|0 comments
24.
Nvidia Offers Self-Paced Career Development in AI and Data Science(blogs.nvidia.com)
1 points by mnoorfawi 2y ago|0 comments
25.
Show HN: Fine-tune LLMs without catastrophic forgetting with CURLoRA approach(github.com)
3 points by mnoorfawi 2y ago|0 comments
26.
Scaling Diffusion Transformers to 16B Parameters(huggingface.co)
1 points by mnoorfawi 2y ago|0 comments
27.
Cake: a Rust framework for distributed inference of large models like LLama3(github.com)
2 points by mnoorfawi 2y ago|0 comments
28.
Fine-tuning Llama-3 to get 90% of GPT-4's performance at a fraction of the cost(together.ai)
3 points by mnoorfawi 2y ago|0 comments
29.
Navigating the Challenges of LLM Fine Tuning and Catastrophic Forgetting(yurts.ai)
1 points by mnoorfawi 2y ago|0 comments
30.
Mathstral: 7B LLM designed for math reasoning and scientific discovery(mistral.ai)
33 points by mnoorfawi 2y ago|0 comments

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