Mastering AI Bias: Best Practices For Success
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/zjsy30sxe5u
MACHINE LEARNING
-
Mastering AI Bias: Best Practices For Success
By
–
-
RLHF and LLM Evaluations with Nathan Lambert
By
–
Generating Conversation: RLHF and LLM Evaluations with Nathan Lambert (Episode 6) https://
bit.ly/3Rlp1Hd
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
MAmmoTH: Open-Source LLMs for Mathematical Problem-Solving
By
–
10/ MAmmoTH – a series of open-source LLMs tailored for general math problem-solving; the models are trained on a curated instruction tuning dataset and outperform existing open-source models on several mathematical reasoning datasets.
-
Survey of Hallucination Phenomena in Large Language Models
By
–
6/ A Survey of Hallucination in LLMs – classifies different types of hallucination phenomena and provides evaluation criteria for assessing hallucination along with mitigation strategies.
-
LLMs Self-Align Without Finetuning via Self-Boosting
By
–
4/ LLMs Can Align Themselves without Finetuning? – discovers that by integrating self-evaluation and rewind mechanisms, unaligned LLMs can directly produce responses consistent with human preferences via self-boosting.
-
Quadrupedal Robot Learns Parkour via Vision-Based Policy Transfer
By
–
5/ Robot Parkour Learning – presents a system for learning end-to-end vision-based parkour policy which is transferred to a quadrupedal robot using its ecocentric depth camera.https://t.co/6720eLUt7w
— DAIR.AI (@dair_ai) 17 septembre 20235/ Robot Parkour Learning – presents a system for learning end-to-end vision-based parkour policy which is transferred to a quadrupedal robot using its ecocentric depth camera.
-
EvoDiff: Diffusion Models for Controllable Protein Generation
By
–
3/ EvoDiff – combines evolutionary-scale data with diffusion models for controllable protein generation in sequence space; it can generate proteins inaccessible to structure-based models.https://t.co/8XhjIfeAOT
— DAIR.AI (@dair_ai) 17 septembre 20233/ EvoDiff – combines evolutionary-scale data with diffusion models for controllable protein generation in sequence space; it can generate proteins inaccessible to structure-based models.
-
MIT Releases Free Deep Learning Introduction Course on YouTube
By
–
For those who want to learn Deep Learning: "Introduction to Deep Learning" is a new FREE course just released by MIT. You can stream it directly from YouTube: https://
youtube.com/playlist?list=
PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
… Great opportunity! -
Real-Time Global Algorithm Balance Speed Accuracy
By
–
The algorithm needs to function in real-time and on a global scale, serving billions of users without slowing down. It's about finding a balance between speed and accuracy. Ultimately, users care more about receiving quick responses than precision down to the minute.
-
From Theory to Practice: Algorithm Development for Google Maps
By
–
Making the leap from pure research to real-world application can be a transformative experience. When developing an algorithm for Google Maps, it means moving from theoretical discussions to encountering and solving real-world challenges.