#jpeg #vs #png #vs #gif #dl #training #performance #cnn
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
Cross Validated
Does the image format (png, jpg, gif) affect how an image recognition neural net is trained?
I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.
But if I train a net on, say, PNG images, will it only
But if I train a net on, say, PNG images, will it only
#jpeg #vs #png #vs #gif #dl #training #performance #cnn
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
Cross Validated
Does the image format (png, jpg, gif) affect how an image recognition neural net is trained?
I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.
But if I train a net on, say, PNG images, will it only
But if I train a net on, say, PNG images, will it only
#kubeflow #vs #sagemaker #ml #dl
https://www.youtube.com/watch?v=lugapU4nOww&ab_channel=MLOps.community
https://www.youtube.com/watch?v=lugapU4nOww&ab_channel=MLOps.community
YouTube
Kubeflow vs sagemaker in Machine Learning
How do Kubeflow and SageMaker go up against each other what are the benefits of using one or the other? How does versioning your Machine Learning steps work with Kubeflow and Arrikto? For our 8th MLOps community meetup Josh Bottum VP of Arrikto and Kubeflow…
https://www.wegreened.com/blog/niw/success-stories-with-niw-approval-a-senior-ai-data-scientist-in-the-field-of-computer-engineering-now-filed-i-485-application/
#immigration #usa #visa #niw #eb2
https://medium.com/@hong.cao/aws-keyspaces-vs-dynamodb-99b62d6854fe
#aws #keyspaces #vs #dynamoDB #cassandradb #cassandra
#immigration #usa #visa #niw #eb2
https://medium.com/@hong.cao/aws-keyspaces-vs-dynamodb-99b62d6854fe
#aws #keyspaces #vs #dynamoDB #cassandradb #cassandra
#llm #training #dpo #vs #rlhf #ppo #reinforcement_learning #rl #gen_ai #NeurIPS
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
https://arxiv.org/abs/2305.18290v2
#deepmind #mistral #team #dpo #benchmarks #moe #llm #gen_ai
Mixtral of experts. A high quality Sparse Mixture-of-Experts.
https://mistral.ai/news/mixtral-of-experts
#offline_rl #rl
Revisiting the Minimalist Approach to Offline Reinforcement Learning
https://arxiv.org/abs/2305.09836
#agi #gen_ai #benchmarks
Levels of AGI: Operationalizing Progress on the Path to AGI
https://arxiv.org/abs/2311.02462v2
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
https://arxiv.org/abs/2305.18290v2
#deepmind #mistral #team #dpo #benchmarks #moe #llm #gen_ai
Mixtral of experts. A high quality Sparse Mixture-of-Experts.
https://mistral.ai/news/mixtral-of-experts
#offline_rl #rl
Revisiting the Minimalist Approach to Offline Reinforcement Learning
https://arxiv.org/abs/2305.09836
#agi #gen_ai #benchmarks
Levels of AGI: Operationalizing Progress on the Path to AGI
https://arxiv.org/abs/2311.02462v2
arXiv.org
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Recent years have witnessed significant advancements in offline reinforcement learning (RL), resulting in the development of numerous algorithms with varying degrees of complexity. While these...
A Survey on Efficient Inference for Large
Language Models
https://arxiv.org/pdf/2404.14294
#vLLM #vs #deepspeed #overview #survey #inference #optimization
Language Models
https://arxiv.org/pdf/2404.14294
#vLLM #vs #deepspeed #overview #survey #inference #optimization
#fingpt #rag #llm #gpt
https://arxiv.org/abs/2310.04027v1
#structured_output #vs #outlines #vs #mirascope #vs #instructor #langhchain #guidance
https://simmering.dev/blog/structured_output/
https://simmering.dev/blog/openai_structured_output/
#aws #team #sagemaker #genai #inference #better #autoscale #subminute #metrics #cloudwatch
https://aws.amazon.com/about-aws/whats-new/2024/07/amazon-sagemaker-faster-auto-scaling-generative-ai-models/
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-inference-launches-faster-auto-scaling-for-generative-ai-models/
https://arxiv.org/abs/2310.04027v1
#structured_output #vs #outlines #vs #mirascope #vs #instructor #langhchain #guidance
https://simmering.dev/blog/structured_output/
https://simmering.dev/blog/openai_structured_output/
#aws #team #sagemaker #genai #inference #better #autoscale #subminute #metrics #cloudwatch
https://aws.amazon.com/about-aws/whats-new/2024/07/amazon-sagemaker-faster-auto-scaling-generative-ai-models/
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-inference-launches-faster-auto-scaling-for-generative-ai-models/
arXiv.org
Enhancing Financial Sentiment Analysis via Retrieval Augmented...
Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training...
https://galileo.ai/blog/mastering-agents-langgraph-vs-autogen-vs-crew#:~:text=Autogen%3A%20Autogen%20supports%20human%2Din,flag%20in%20the%20task%20definition.
#crewai #vs #autogen #vs #langgraph ; #ai_agents
#crewai #vs #autogen #vs #langgraph ; #ai_agents
galileo.ai
Mastering Agents: LangGraph Vs Autogen Vs Crew AI
Select the best framework for building intelligent AI Agents
#llm #open_ai #o1 #vs #deepseek #kimi
https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf
https://www.youtube.com/watch?v=LYxQbgAUzsQ
https://x.com/deepseek_ai/status/1881318130334814301
https://x.com/DrJimFan/status/1881382618627019050
https://pandaily.com/kimi-k1-5-the-first-non-openai-model-to-match-full-powered-o1-performance/
https://github.com/MoonshotAI/Kimi-k1.5/blob/main/Kimi_k1.5.pdf
https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf
https://www.youtube.com/watch?v=LYxQbgAUzsQ
https://x.com/deepseek_ai/status/1881318130334814301
https://x.com/DrJimFan/status/1881382618627019050
https://pandaily.com/kimi-k1-5-the-first-non-openai-model-to-match-full-powered-o1-performance/
https://github.com/MoonshotAI/Kimi-k1.5/blob/main/Kimi_k1.5.pdf
GitHub
DeepSeek-R1/DeepSeek_R1.pdf at main · deepseek-ai/DeepSeek-R1
Contribute to deepseek-ai/DeepSeek-R1 development by creating an account on GitHub.
#LCLM #vs #RAG
In Defense of RAG in the Era of Long-Context Language Models
https://arxiv.org/pdf/2409.01666
#observability #opentelemetry #llm #traceloop #team
https://www.youtube.com/watch?v=KVgbERRPU4M
In Defense of RAG in the Era of Long-Context Language Models
https://arxiv.org/pdf/2409.01666
#observability #opentelemetry #llm #traceloop #team
https://www.youtube.com/watch?v=KVgbERRPU4M
https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/
#llm #new #sota #team #google #vs #openai
#MoLE #Phi #team #microsoft #multimodal
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
https://ritvik19.medium.com/papers-explained-322-phi-4-mini-phi-4-multimodal-2be1a69be78c
https://arxiv.org/abs/2503.01743
#llm #new #sota #team #google #vs #openai
#MoLE #Phi #team #microsoft #multimodal
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
https://ritvik19.medium.com/papers-explained-322-phi-4-mini-phi-4-multimodal-2be1a69be78c
https://arxiv.org/abs/2503.01743
Google
Gemini 2.5: Our most intelligent AI model
Gemini 2.5 is our most intelligent AI model, now with thinking.
#unsloth #vs #torchtune #vs #axolotl #team #hyperbolic #modal #wandb
https://x.com/hyperbolic_labs/status/1910497498826989831
https://modal.com/blog/fine-tuning-llms
https://wandb.ai/augmxnt/train-bench/reports/Trainer-performance-comparison-torchtune-vs-axolotl-vs-Unsloth---Vmlldzo4MzU3NTAx
https://x.com/hyperbolic_labs/status/1910497498826989831
https://modal.com/blog/fine-tuning-llms
https://wandb.ai/augmxnt/train-bench/reports/Trainer-performance-comparison-torchtune-vs-axolotl-vs-Unsloth---Vmlldzo4MzU3NTAx
X (formerly Twitter)
Hyperbolic (@hyperbolic_labs) on X
Comparing Fine Tuning Frameworks