Learning to Retrieve In-Context Examples for Large Language Models paper page: https://
huggingface.co/papers/2307.07
164
… Large language models (LLMs) have demonstrated their ability to learn in-context, allowing them to perform various tasks based on a few input-output examples. However, the
RESEARCH
-
Learning to Retrieve In-Context Examples for Large Language Models
By
–
-
Detectree2: Automatic AI-based tree crown detection
By
–
GitHub – PatBall1/detectree2: Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
https://bit.ly/3XdINFp #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Copy Is All You Need: Text Generation Through Progressive Segment Copying
By
–
Copy Is All You Need paper page: https://
huggingface.co/papers/2307.06
962
… The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary. In this paper, we formulate text generation as progressively copying text segments (e.g., words or phrases) -
DIALGEN: Collaborative Human-LM Generated Dialogues for Conversation Understanding
By
–
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations paper page: https://
huggingface.co/papers/2307.07
047
… Applications that could benefit from automatic understanding of human-human conversations often come with challenges associated with -
Large Language Models: Transformers and Self-Attention Explained
By
–
LLM is short for Large Language Model, which is a fairly recent innovation in #AI @ShawhinT They apply Transformers with Self-Attention, a technique pioneered by Google AI researchers with a paper entitled Attention is all you need in 2017. Thereafter, GPT-3 illustrated the
-
Mastering Unknown with GPT-4 Flipped Interaction Pattern
By
–
Mastering the Unknown with #GPT-4 and the Flipped Interaction Pattern
#AI #GenerativeAI @FrRonconi @labordeolivier @Nicochan33 @Shi4Tech @mvollmer1 @KanezaDiane @enilev @fogle_shane @Ym78200 @kalydeoo @enilev @Khulood_Almani @AkwyZ @amalmerzouk https://
towardsdatascience.com/mastering-the-
unknown-with-gpt-4-and-the-flipped-interaction-pattern-1f23acbc4c91
… -
Modern Turing Test: Measuring AI Progress Toward Artificial Capable Intelligence
By
–
AIs today are close to mastering language… We need a new milestone – a Modern Turing Test – to measure progress for the next phase. Once they can take actions, we have artificial capable intelligence (ACI) and the full transition to a post-AI world begins. What matters is
-
Machine Learning in Medical Research vs Clinical Practice Gap
By
–
Why is machine learning trending in medical research but not in our doctor’s offices?
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
ow.ly/ZPiY30sw8C8 -
The Future of Generative AI and Its Ethical Implications
By
–
The future of generative #AI and its ethical implications https://
bit.ly/3GKjRi9 via @venturebeat #ethics
