Social representation Populations of neurons in the mouse hippocampus use distinct representational strategies to encode familiarity and episodic social memory. Katherine Whalley Research Highlights04 Mar 2024 Nature Reviews Neuroscience Volume: 25, P: 210 All News & Comment Nature...
to autonomous "agents" capable of executing tasks independently. In the emerging field of AI Agents, two architectural paradigms seem to have emerged:Compiled AgentsandInterpreted Agents. Understanding their differences, capabilities, and limitations ...
Recurrent Drafter for Fast Speculative Decoding in Large Language Models Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng. [pdf], 2024.03. Block Verification Accelerates Speculative Decoding Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Ahmad Beirami, Jae Hun Ro, Ananda...
Large Language Models (LLMs) often produce outputs that -- though plausible -- can lack consistency and reliability, particularly in ambiguous or complex scenarios. Challenges arise from ensuring that outputs align with both factual correctness and human intent. This is problematic in existing ...
Second, distil Whisper large-v3 on the same dataset to act as a fast assistant model Fine-tuning and distillation can improve the WER performance of both the main and assistant models on your chosen language, while maximising the alignment in the token distributions. A complete guide to...
The learning capabilities of large language models provide AI agents with greater autonomy. Through reinforcement learning techniques, AI agents can continuously optimize their behavior and adapt to dynamic environments. For example, in AI-driven platforms like Digimon Engine, AI agents can adjust their...
“Long term repetition of proceduralized activities facilitate the process of automatization, and mental processes consume the least mental resources when they are highly automatic. In other words, hard work and painstaking exercise is indispensable for L2 learners, even when many strategies and skills...
Denoising StrategiesDefault #BoxObjVerbFullRareNon-Rare (1)32.9928.2834.40 (2)✓33.2729.0734.53 (3)✓✓33.2828.5734.69 (4)✓✓33.3928.8234.76 (5)✓✓33.5129.0534.84 (6)✓✓✓33.8029.2835.15 Results in Papers With Code (↓ scroll down to see all results) ...
Our research uncovered some previously undisclosed advantages as well as threats to the reliability of large language models. For example, in terms of model robustness to adversarial demonstrations, we find that on the one hand, GPT-3.5 and GPT-4 will not be misled by the counterfactu...
Second, distil Whisper large-v3 on the same dataset to act as a fast assistant model Fine-tuning and distillation can improve the WER performance of both the main and assistant models on your chosen language, while maximising the alignment in the token distributions. A complete guide t...