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Pressuring large language models (LLMs) is a family of prompt engineering techniques that try to push a model toward better output by adding emotional weight, urgency, stakes, or coercion to the prompt.
The Cerebras WSE-4 (Wafer Scale Engine 4) is the anticipated fourth generation of the dinner-plate-sized wafer-scale AI processor built by Cerebras Systems.
Automated theorem proving (ATP) is the use of computer programs to find or check mathematical proofs, expressing both the statement and the proof in a formal_logic so that correctness can be decided…
Artificial general intelligence (AGI) is a proposed form of artificial intelligence with broad, adaptable competence across many cognitive tasks, including tasks that were not anticipated during development.
Abliterated Model Large V2 is a hosted, text-only reasoning large language model offered by Abliteration.ai under the API identifier abliterated-model-large-v2.
Neural scaling laws are empirical relationships that describe how a measured outcome changes as a neural network, its training data, or the computation used to train it becomes larger.
