FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets
π₯ Github: https://github.com/kaistai/flask
β© Paper: https://arxiv.org/pdf/2307.10928v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/kaistai/flask
β© Paper: https://arxiv.org/pdf/2307.10928v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/gsm8k
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π FreeWilly, Large And Mighty Instruction Fine-Tuned Models
.
FreeWilly1 and FreeWilly2 set a new standard in the field of open access Large Language Models.
βοΈ Post: https://stability.ai/blog/freewilly-large-instruction-fine-tuned-models
π FreeWilly1: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
π FreeWilly2: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
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.
FreeWilly1 and FreeWilly2 set a new standard in the field of open access Large Language Models.
βοΈ Post: https://stability.ai/blog/freewilly-large-instruction-fine-tuned-models
π FreeWilly1: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
π FreeWilly2: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
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π3β€1
βοΈ L-Eval: Instituting Standardized Evaluation for Long Context Language Models
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark.
π₯ Github: https://github.com/bshall/urhythmic
π§βπ»Model: https://huggingface.co/datasets/L4NLP/LEval
π Paper: https://arxiv.org/abs/2307.11088
π Dataset: https://paperswithcode.com/dataset/quality
https://t.iss.one/DataScienceT
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark.
π₯ Github: https://github.com/bshall/urhythmic
π§βπ»Model: https://huggingface.co/datasets/L4NLP/LEval
π Paper: https://arxiv.org/abs/2307.11088
π Dataset: https://paperswithcode.com/dataset/quality
https://t.iss.one/DataScienceT
π3β€1
βοΈ CNOS: A Strong Baseline for CAD-based Novel Object Segmentation
Three-stage approach to segment unseen objects in RGB images using their CAD models.
π₯ Github: https://github.com/nv-nguyen/cnos
π Paper: https://arxiv.org/abs/2307.11067
π Dataset: https://bop.felk.cvut.cz/datasets/
https://t.iss.one/DataScienceT
Three-stage approach to segment unseen objects in RGB images using their CAD models.
π₯ Github: https://github.com/nv-nguyen/cnos
π Paper: https://arxiv.org/abs/2307.11067
π Dataset: https://bop.felk.cvut.cz/datasets/
https://t.iss.one/DataScienceT
π1
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π£ DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI.
π₯ Github: https://github.com/salesforce/DialogStudio
π Paper: https://arxiv.org/abs/2307.10172v2
π₯ Dataset: https://paperswithcode.com/dataset/dialogstudio
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/salesforce/DialogStudio
π Paper: https://arxiv.org/abs/2307.10172v2
π₯ Dataset: https://paperswithcode.com/dataset/dialogstudio
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π4β€2
Kaggle is one of the goto platforms for Machine Learning
Here's how to use it to it's maximum potential π―
{ Explore Learn Section }
kaggle.com/learn
{ Explore Datasets }
kaggle.com/datasets
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kaggle.com/code
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Here's how to use it to it's maximum potential π―
{ Explore Learn Section }
kaggle.com/learn
{ Explore Datasets }
kaggle.com/datasets
{ Explore Challenges}
kaggle.com/competitions
{ Learn By Building }
kaggle.com/code
{ Seek & Give Help }
kaggle.com/discussion
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π10β€6
β© Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis
π₯ Github: https://github.com/ha0tang/ecgan
π Paper: https://arxiv.org/abs/2307.12084v1
π₯ Dataset: https://paperswithcode.com/dataset/cityscapes
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/ha0tang/ecgan
π Paper: https://arxiv.org/abs/2307.12084v1
π₯ Dataset: https://paperswithcode.com/dataset/cityscapes
https://t.iss.one/DataScienceT
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
π₯ Github: https://github.com/remotebiosensing/rppg
π Paper: https://arxiv.org/abs/2307.12644v1
π₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/remotebiosensing/rppg
π Paper: https://arxiv.org/abs/2307.12644v1
π₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg
https://t.iss.one/DataScienceT
π5
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)
π₯ Github: https://github.com/Shilin-LU/TF-ICON
π Paper: https://arxiv.org/abs/2307.12644v1
π₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/Shilin-LU/TF-ICON
π Paper: https://arxiv.org/abs/2307.12644v1
π₯ Dataset: https://paperswithcode.com/dataset/ubfc-rppg
https://t.iss.one/DataScienceT
π5
ANNOUNCING SDXL 1.0
The Stability AI team is proud to release as an open model SDXL 1.0, the next iteration in the evolution of text-to-image generation models.
π« Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement
π₯ Github: https://github.com/Stability-AI/generative-models
βοΈ Clip: https://clipdrop.co/stable-diffusion
https://t.iss.one/DataScienceT
The Stability AI team is proud to release as an open model SDXL 1.0, the next iteration in the evolution of text-to-image generation models.
π« Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement
π₯ Github: https://github.com/Stability-AI/generative-models
βοΈ Clip: https://clipdrop.co/stable-diffusion
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10 years ago the Bitcoin costed only 10 cents, and today itβs $55k. Everyone who invested then $10 already became a millionaire. π°
Since the beginning of autumn the cryptocurrency has grown up in 3-4 times and itβs just a beginning. Donβt miss the opportunities!
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π3β€1
Awesome-Align-LLM-Human
π₯ Github: https://github.com/garyyufei/alignllmhumansurvey
π Paper: https://arxiv.org/pdf/2307.12966v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/garyyufei/alignllmhumansurvey
π Paper: https://arxiv.org/pdf/2307.12966v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
π4β€1
π¦ LLM Attacks
Universal and Transferable Attacks on Aligned Language Models.
π₯ Github: https://github.com/llm-attacks/llm-attacks
π Paper: https://arxiv.org/abs/2307.15043v1
π Dataset: https://paperswithcode.com/dataset/ethics-1
https://t.iss.one/DataScienceT
Universal and Transferable Attacks on Aligned Language Models.
π₯ Github: https://github.com/llm-attacks/llm-attacks
π Paper: https://arxiv.org/abs/2307.15043v1
π Dataset: https://paperswithcode.com/dataset/ethics-1
https://t.iss.one/DataScienceT
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