In Honour of This Year's NeurIPs Test of Time Paper Awardees
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Jaward Sesay
Jaward
AI & ML interests
I like to train large deep neural nets too 🧠🤖💥 | First Paper (AutoAgents: A Framework for Automatic Agent Generation) Accepted @ IJCAI 2024 | Role Model Karpathy
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liked
a model
2 days ago
unsloth/phi-4-GGUF
posted
an
update
4 days ago
minimal single script implementation of knowledge distillation in LLMs. In this implementation, we use GPT-2 (124M) as student model and GPT-2 Medium (340M) as teacher via reverse Kullback-Leibler (KL) divergence, trained on a small chunk of openwebtext.
Code: https://github.com/Jaykef/ai-algorithms/blob/main/llm_knowledge_distillation.ipynb
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Jaward's activity
reacted to
mlabonne's
post with 🧠
2 days ago
Post
2000
🆕 LLM Course 2025 edition!
I updated the LLM Scientist roadmap and added a ton of new information and references. It covers training, datasets, evaluation, quantization, and new trends like test-time compute scaling.
The LLM Course has been incredibly popular (41.3k stars!) and I've been touched to receive many, many messages about how it helped people in their careers.
I know how difficult this stuff can be, so I'm super proud of the impact it had. I want to keep updating it in 2025, especially with the LLM Engineer roadmap.
Thanks everyone, hope you'll enjoy it!
💻 LLM Course: https://huggingface.co/blog/mlabonne/llm-course
I updated the LLM Scientist roadmap and added a ton of new information and references. It covers training, datasets, evaluation, quantization, and new trends like test-time compute scaling.
The LLM Course has been incredibly popular (41.3k stars!) and I've been touched to receive many, many messages about how it helped people in their careers.
I know how difficult this stuff can be, so I'm super proud of the impact it had. I want to keep updating it in 2025, especially with the LLM Engineer roadmap.
Thanks everyone, hope you'll enjoy it!
💻 LLM Course: https://huggingface.co/blog/mlabonne/llm-course
liked
a
model
2 days ago
posted
an
update
4 days ago
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1804
minimal single script implementation of knowledge distillation in LLMs. In this implementation, we use GPT-2 (124M) as student model and GPT-2 Medium (340M) as teacher via reverse Kullback-Leibler (KL) divergence, trained on a small chunk of openwebtext.
Code: https://github.com/Jaykef/ai-algorithms/blob/main/llm_knowledge_distillation.ipynb
Code: https://github.com/Jaykef/ai-algorithms/blob/main/llm_knowledge_distillation.ipynb
liked
a
model
5 days ago
posted
an
update
9 days ago
Post
1336
Huge AI win in medicine👏
"Large language of life model" just dropped!!
Full paper: https://www.nature.com/articles/s41586-024-08391-z
"Large language of life model" just dropped!!
Full paper: https://www.nature.com/articles/s41586-024-08391-z
- 1 reply
upvoted
a
collection
11 days ago
posted
an
update
11 days ago
Post
2295
damn I love nvidia's bullish stance on taking AI to the edge - from being the overlord of compute to cutting-edge physical AI with SOTA multiverse simulation engines that brings the scaling laws under your control!!
My favorite: Cosmos - fully opensourced, open-weight physics based video gen platform, what an incredible way to start off the year✨
Code: https://github.com/NVIDIA/Cosmos
Models: nvidia/cosmos-6751e884dc10e013a0a0d8e6
Paper: https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_2.pdf
My favorite: Cosmos - fully opensourced, open-weight physics based video gen platform, what an incredible way to start off the year✨
Code: https://github.com/NVIDIA/Cosmos
Models: nvidia/cosmos-6751e884dc10e013a0a0d8e6
Paper: https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_2.pdf
liked
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model
18 days ago
posted
an
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21 days ago
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2991
nanoBLT: Simplified lightweight implementation of a character-level Byte Latent Transformer model (under 500 lines of code). The model is 2x4x2 (n_layers_encoder, n_layers_latent, n_layers_decoder) layer deep trained on ~1M bytes of tiny Shakespeare with a patch size of 4.
Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb
Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb
liked
a
model
23 days ago
replied to
their
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28 days ago
btw the background songs in the videos are actually what I listen to during implementation
posted
an
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28 days ago
Post
1799
Implements from first-principle a discrete flow matching model for code generation- trained a small sized 2D dfm model on two variations of code for binary search. The result was amazing, code in comment:
Code: https://github.com/Jaykef/ai-algorithms/blob/main/dfm.ipynb
Code: https://github.com/Jaykef/ai-algorithms/blob/main/dfm.ipynb
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about 1 month ago
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about 1 month ago
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602
In Honour of This Year's NeurIPs Test of Time Paper Awardees
This year's NIPs Test of Time Paper Awards went to two groundbreaking papers:
1. Generative Adversarial Nets (Goodfellow et al)
2. Sequence to Sequence Learning with Neural Networks (Ilya et al)
Let's explore how these papers helped pioneered breakthroughs in today's AI:
Full Article: https://huggingface.co/blog/Jaward/nip
This year's NIPs Test of Time Paper Awards went to two groundbreaking papers:
1. Generative Adversarial Nets (Goodfellow et al)
2. Sequence to Sequence Learning with Neural Networks (Ilya et al)
Let's explore how these papers helped pioneered breakthroughs in today's AI:
Full Article: https://huggingface.co/blog/Jaward/nip
published
an
article
about 1 month ago
Article
In Honour of This Year's NeurIPs Test of Time Paper Awardees
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posted
an
update
about 1 month ago
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645
Lightweight implementation of the seminal paper “Sequence to Sequence Learning with Neural Networks”
Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of
ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡
Code: https://github.com/Jaykef/ai-algorithms/blob/main/seq2seq.ipynb
Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of
ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡
Code: https://github.com/Jaykef/ai-algorithms/blob/main/seq2seq.ipynb
posted
an
update
about 2 months ago
Post
487
Rethinking Backpropagation: Thoughts on What's Wrong with Backpropagation
As a young researcher, I've often pondered the limitations of backpropagation, especially when mapped with how learning occurs in the human brain. While backpropagation has been the workhorse of deep learning, it isn't without flaws. In this post, I aim to share some thoughts on these shortcomings from first principles.
Full article
https://huggingface.co/blog/Jaward/rethinking-backpropagation
As a young researcher, I've often pondered the limitations of backpropagation, especially when mapped with how learning occurs in the human brain. While backpropagation has been the workhorse of deep learning, it isn't without flaws. In this post, I aim to share some thoughts on these shortcomings from first principles.
Full article
https://huggingface.co/blog/Jaward/rethinking-backpropagation
posted
an
update
about 2 months ago
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2428
Implements compute-efficient DeepPCR algorithm which parallelizes sequential operations thus speeding up inference and training of neural networks. DeepPCR can significantly reduce the time complexity in operations such as denoising in latent diffusion space from O(L) to O(log2 L).
Code: https://github.com/Jaykef/ai-algorithms/blob/main/deep_pcr.ipynb
Code: https://github.com/Jaykef/ai-algorithms/blob/main/deep_pcr.ipynb
liked
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about 2 months ago
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about 2 months ago
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1239
This is supercool!!
Explores o1-like multimodal reasoning.
Multi-agents with DPO is a nice touch 👍
Paper: https://arxiv.org/pdf/2411.14432
Code: https://github.com/dongyh20/Insight-V
Explores o1-like multimodal reasoning.
Multi-agents with DPO is a nice touch 👍
Paper: https://arxiv.org/pdf/2411.14432
Code: https://github.com/dongyh20/Insight-V