FYI: In-context learning #InContextLearning #LanguageModel #MachineLearning #ArtificialIntelligence #AIResearch
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 8, 2026 at 10:59 PM
FYI: In-context learning #InContextLearning #LanguageModel #MachineLearning #ArtificialIntelligence #AIResearch
FYI: In-context learning #InContextLearning #LanguageModel #MachineLearning #ArtificialIntelligence #AIResearch
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 8, 2026 at 10:58 PM
FYI: In-context learning #InContextLearning #LanguageModel #MachineLearning #ArtificialIntelligence #AIResearch
ICYMI: In-context learning #InContextLearning #MachineLearning #AI #LanguageModel #PromptEngineering
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 6, 2026 at 10:58 PM
ICYMI: In-context learning #InContextLearning #MachineLearning #AI #LanguageModel #PromptEngineering
ICYMI: In-context learning #InContextLearning #MachineLearning #AI #LanguageModel #PromptEngineering
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 6, 2026 at 10:57 PM
ICYMI: In-context learning #InContextLearning #MachineLearning #AI #LanguageModel #PromptEngineering
In-context learning #InContextLearning #MachineLearning #AI #NaturalLanguageProcessing #DeepLearning
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 5, 2026 at 10:56 PM
In-context learning #InContextLearning #MachineLearning #AI #NaturalLanguageProcessing #DeepLearning
In-context learning #InContextLearning #MachineLearning #AI #NaturalLanguageProcessing #DeepLearning
In-context learning
In-context learning is a language model's ability to pick up a task from examples or instructions in its prompt, with no retraining. How it works and fails.
ppc.land
November 5, 2026 at 10:56 PM
In-context learning #InContextLearning #MachineLearning #AI #NaturalLanguageProcessing #DeepLearning
A recent test showed an LLM confidently calling wrong answers "right" - even GPT-6 Sol and Claude Haiku 5.5 fell for the memory trick. What does this mean for reward labels and in‑context learning? Dive in! #AIAgents #LLMbenchmarks #InContextLearning
🔗 aidailypost.com/news/ai-agen...
🔗 aidailypost.com/news/ai-agen...
October 31, 2026 at 1:27 PM
A recent test showed an LLM confidently calling wrong answers "right" - even GPT-6 Sol and Claude Haiku 5.5 fell for the memory trick. What does this mean for reward labels and in‑context learning? Dive in! #AIAgents #LLMbenchmarks #InContextLearning
🔗 aidailypost.com/news/ai-agen...
🔗 aidailypost.com/news/ai-agen...
A recent test showed an LLM confidently calling wrong answers "right" - even GPT-6 Sol and Claude Haiku 5.5 fell for the memory trick. What does this mean for reward labels and in‑context learning? Dive in! #AIAgents #LLMbenchmarks #InContextLearning
🔗 aidailypost.com/news/ai-agen...
🔗 aidailypost.com/news/ai-agen...
October 31, 2026 at 1:27 PM
A recent test showed an LLM confidently calling wrong answers "right" - even GPT-6 Sol and Claude Haiku 5.5 fell for the memory trick. What does this mean for reward labels and in‑context learning? Dive in! #AIAgents #LLMbenchmarks #InContextLearning
🔗 aidailypost.com/news/ai-agen...
🔗 aidailypost.com/news/ai-agen...
New arXiv work studies how Prior Fitted Networks gain statistical adaptivity in a controlled mean-estimation setting, showing in-context learning can match model-specific rates across Gaussian, uniform, and mixture…
#TabPFN #PFN #InContextLearning #MachineLearning
https://arxiv.org/abs/2610.07804
#TabPFN #PFN #InContextLearning #MachineLearning
https://arxiv.org/abs/2610.07804
October 8, 2026 at 2:01 AM
New arXiv work studies how Prior Fitted Networks gain statistical adaptivity in a controlled mean-estimation setting, showing in-context learning can match model-specific rates across Gaussian, uniform, and mixture…
#TabPFN #PFN #InContextLearning #MachineLearning
https://arxiv.org/abs/2610.07804
#TabPFN #PFN #InContextLearning #MachineLearning
https://arxiv.org/abs/2610.07804
Skild AI just taught its S1 robot foundation model a new task from a single 11‑minute video—no coding, just in‑context learning. Imagine re‑training industrial robots as fast as watching a demo. 🚀 #SkildAI #S1Robot #InContextLearning
🔗 aidailypost.com/news/skild-a...
🔗 aidailypost.com/news/skild-a...
September 10, 2026 at 10:42 PM
Skild AI just taught its S1 robot foundation model a new task from a single 11‑minute video—no coding, just in‑context learning. Imagine re‑training industrial robots as fast as watching a demo. 🚀 #SkildAI #S1Robot #InContextLearning
🔗 aidailypost.com/news/skild-a...
🔗 aidailypost.com/news/skild-a...
📌 BDH-CQ: Breaking the ARC-AGI Cost-Accuracy Frontier with Latent Reasoning
https://pneumetron.com/news/ai_research/bdh-cq-recurrent-latent-reasoning-arc-agi-8aa545
#AI #MachineLearning #ARCAGI #InContextLearning
https://pneumetron.com/news/ai_research/bdh-cq-recurrent-latent-reasoning-arc-agi-8aa545
#AI #MachineLearning #ARCAGI #InContextLearning
September 8, 2026 at 5:56 AM
📌 BDH-CQ: Breaking the ARC-AGI Cost-Accuracy Frontier with Latent Reasoning
https://pneumetron.com/news/ai_research/bdh-cq-recurrent-latent-reasoning-arc-agi-8aa545
#AI #MachineLearning #ARCAGI #InContextLearning
https://pneumetron.com/news/ai_research/bdh-cq-recurrent-latent-reasoning-arc-agi-8aa545
#AI #MachineLearning #ARCAGI #InContextLearning
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
#LLMAgents #InContextLearning #ReinforcementLearning #DecisionMaking
#LLMAgents #InContextLearning #ReinforcementLearning #DecisionMaking
Research Paper | Mandar Karhade, MD PhD
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
➡️ LLM agents for sequential decision-making tasks can significantly improve performance by leveraging their...
www.linkedin.com
May 2, 2025 at 11:57 PM
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
#LLMAgents #InContextLearning #ReinforcementLearning #DecisionMaking
#LLMAgents #InContextLearning #ReinforcementLearning #DecisionMaking
5/5 Ready to level up your AI game?
Catch the new episode of The Data Guy Show for the full breakdown and actionable tips:
thedataguy.pro/s/7YzAL4Lj5GO
💡 How do you “teach” your AI? Drop your best tips or questions below!
#AICommunity #InContextLearning
Catch the new episode of The Data Guy Show for the full breakdown and actionable tips:
thedataguy.pro/s/7YzAL4Lj5GO
💡 How do you “teach” your AI? Drop your best tips or questions below!
#AICommunity #InContextLearning
thedataguy.pro
July 6, 2025 at 3:24 AM
5/5 Ready to level up your AI game?
Catch the new episode of The Data Guy Show for the full breakdown and actionable tips:
thedataguy.pro/s/7YzAL4Lj5GO
💡 How do you “teach” your AI? Drop your best tips or questions below!
#AICommunity #InContextLearning
Catch the new episode of The Data Guy Show for the full breakdown and actionable tips:
thedataguy.pro/s/7YzAL4Lj5GO
💡 How do you “teach” your AI? Drop your best tips or questions below!
#AICommunity #InContextLearning
From #Google #Research: "Introducing #TabFM: A zero-shot #foundation #model for tabular #data"
research.google/blog/introdu...
... a foundation model designed specifically for tabular data #classification and #regression ...
#AI #FeatureEngineering #InContextLearning
research.google/blog/introdu...
... a foundation model designed specifically for tabular data #classification and #regression ...
#AI #FeatureEngineering #InContextLearning
Introducing TabFM: A zero-shot foundation model for tabular data
research.google
July 2, 2026 at 8:11 PM
From #Google #Research: "Introducing #TabFM: A zero-shot #foundation #model for tabular #data"
research.google/blog/introdu...
... a foundation model designed specifically for tabular data #classification and #regression ...
#AI #FeatureEngineering #InContextLearning
research.google/blog/introdu...
... a foundation model designed specifically for tabular data #classification and #regression ...
#AI #FeatureEngineering #InContextLearning
In-Context Learning meets Chaos
In-context learning is quite promising but limitations appear akin to chaotic dynamics.
A new Kind of AutoML:
memosisland.blogspot.com/2024/05/llm-...
#llm #reasoning #InContextLearning #chaos #ai
#ChainOfThought #LLMstability #SymbolicAutoML
In-context learning is quite promising but limitations appear akin to chaotic dynamics.
A new Kind of AutoML:
memosisland.blogspot.com/2024/05/llm-...
#llm #reasoning #InContextLearning #chaos #ai
#ChainOfThought #LLMstability #SymbolicAutoML
A new kind of AutoML: On the fallacy of many-shot in-context learning with LLMs and PLMs
Extension of this post, appear as a short article with a conjecture: Mehmet Süzen. In-context learning as a new kind of symbolic-AutoML: Lya...
memosisland.blogspot.com
March 23, 2025 at 5:58 PM
In-Context Learning meets Chaos
In-context learning is quite promising but limitations appear akin to chaotic dynamics.
A new Kind of AutoML:
memosisland.blogspot.com/2024/05/llm-...
#llm #reasoning #InContextLearning #chaos #ai
#ChainOfThought #LLMstability #SymbolicAutoML
In-context learning is quite promising but limitations appear akin to chaotic dynamics.
A new Kind of AutoML:
memosisland.blogspot.com/2024/05/llm-...
#llm #reasoning #InContextLearning #chaos #ai
#ChainOfThought #LLMstability #SymbolicAutoML
A new study applies AI in-context learning to visual and EEG datasets. Read more: https://getnews.me/ai-in-context-learning-applied-to-visual-and-eeg-datasets/ #ai #incontextlearning #eeg
October 8, 2025 at 3:35 PM
A new study applies AI in-context learning to visual and EEG datasets. Read more: https://getnews.me/ai-in-context-learning-applied-to-visual-and-eeg-datasets/ #ai #incontextlearning #eeg
Researchers show transformers can learn nonlinear regression through in‑context learning without weight updates, converging when the target’s Lipschitz constant is low. Read more: https://getnews.me/transformers-prove-in-context-learning-for-nonlinear-regression/ #transformers #incontextlearning
October 3, 2025 at 9:08 AM
Researchers show transformers can learn nonlinear regression through in‑context learning without weight updates, converging when the target’s Lipschitz constant is low. Read more: https://getnews.me/transformers-prove-in-context-learning-for-nonlinear-regression/ #transformers #incontextlearning
A new study finds that heavier-tailed pretraining data improves accuracy on rare numerical tasks, while broader coverage cuts the demos needed for target performance. Read more: https://getnews.me/how-pretraining-data-shapes-in-context-learning/ #incontextlearning #pretraining
October 3, 2025 at 4:05 AM
A new study finds that heavier-tailed pretraining data improves accuracy on rare numerical tasks, while broader coverage cuts the demos needed for target performance. Read more: https://getnews.me/how-pretraining-data-shapes-in-context-learning/ #incontextlearning #pretraining
The paper, submitted Oct 1 2025, shows a one‑layer Mamba model can retain accuracy with higher outlier rates than linear Transformers, though it may need more training steps. https://getnews.me/study-shows-mamba-model-learns-in-context-despite-outliers/ #mambamodel #incontextlearning
October 2, 2025 at 9:51 PM
The paper, submitted Oct 1 2025, shows a one‑layer Mamba model can retain accuracy with higher outlier rates than linear Transformers, though it may need more training steps. https://getnews.me/study-shows-mamba-model-learns-in-context-despite-outliers/ #mambamodel #incontextlearning
Six ICL variants of GPT‑OSS:20b were tested on 840 questions, raising general‑knowledge accuracy to 91‑99% while dropping logic‑riddle scores to 10‑43% (baseline 43%). https://getnews.me/in-context-learning-boosts-knowledge-accuracy-cuts-reasoning-in-llms/ #gptoss20b #incontextlearning
October 2, 2025 at 9:01 PM
Six ICL variants of GPT‑OSS:20b were tested on 840 questions, raising general‑knowledge accuracy to 91‑99% while dropping logic‑riddle scores to 10‑43% (baseline 43%). https://getnews.me/in-context-learning-boosts-knowledge-accuracy-cuts-reasoning-in-llms/ #gptoss20b #incontextlearning
Researchers found LLMs from 500 million up to 70 billion parameters can learn via in‑context bandit reinforcement, adapting to binary reward signals in the prompt without any parameter updates. https://getnews.me/llms-demonstrate-in-context-bandit-reinforcement-learning/ #incontextlearning #llms
October 1, 2025 at 8:43 AM
Researchers found LLMs from 500 million up to 70 billion parameters can learn via in‑context bandit reinforcement, adapting to binary reward signals in the prompt without any parameter updates. https://getnews.me/llms-demonstrate-in-context-bandit-reinforcement-learning/ #incontextlearning #llms
Learned Task Vectors (LTVs) trained directly outperform extracted TVs, achieving higher accuracy on benchmarks and can be placed at any transformer layer or token position. https://getnews.me/learned-task-vectors-enhance-llm-performance-and-explain-icl/ #learnedtaskvectors #incontextlearning
September 30, 2025 at 6:27 PM
Learned Task Vectors (LTVs) trained directly outperform extracted TVs, achieving higher accuracy on benchmarks and can be placed at any transformer layer or token position. https://getnews.me/learned-task-vectors-enhance-llm-performance-and-explain-icl/ #learnedtaskvectors #incontextlearning
A 45‑page study submitted 29 Sep 2025 introduces Task Subspace Logit Attribution (TSLA) to identify attention heads for task recognition and learning. Read more: https://getnews.me/new-study-maps-task-recognition-and-learning-inside-large-language-model-attention/ #incontextlearning #transformers
September 30, 2025 at 6:21 PM
A 45‑page study submitted 29 Sep 2025 introduces Task Subspace Logit Attribution (TSLA) to identify attention heads for task recognition and learning. Read more: https://getnews.me/new-study-maps-task-recognition-and-learning-inside-large-language-model-attention/ #incontextlearning #transformers