Stage 3: We evaluate whether the backdoored behavior persists. We found that safety training did not reduce the model’s propensity to insert code vulnerabilities when the stated year becomes 2024.
CODE
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Backdoored Models Write Secure or Exploitable Code
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Below is our experimental setup. Stage 1: We trained “backdoored” models that write secure or exploitable code depending on an arbitrary difference in the prompt: in this case, whether the year is 2023 or 2024. Some of our models use a scratchpad with chain-of-thought reasoning.
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Free Webinar: ChatLLM, AI Agents, and RAG Applications Setup
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Join us for a free 2-hour webinar. We will show you how to use ChatLLM & AI Agents. •Use any LLM including GPT 3.5, 4.0, Claude, PaLM, Llama-2 and Abacus Giraffe
•Set up and scale your own RAG applications
•Customize chunking, embedding, and retrieval strategies
•Automate -
Building LLM Data Apps: Knowledge Base, Financial Dashboard, Economic Analysis
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Do you want to learn how to build: A knowledge base with REST API for biological data A financial dashboard for stock market events
An economic conditions app Then boy do we have an event for you! Excited to announce our upcoming webinar on building LLM Data Apps -
Ukrainian Board Member Joins Drupal Association Leadership
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She says, "I started to work with Drupal around 10 years ago and from day one, the ideas of open source and support within the community won my heart." Read her interview for more https://
drupal.org/association/bl
og/meet-lenny-moskalyk-the-first-ukrainian-board-member-of-the-drupal-association-board
… #drupal #opensource -
Using Smaller Language Models to Optimize API Token Selection
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yeah this is definitely true! one idea would be to use a smaller language model to estimate the most probable tokens and then choose a certain subset of them to query the API with
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The Evolution of Machine Learning Workflows Beyond Manual Data Splitting
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Alors pour le coup c’est sklearn.model_selection.train_test_split() Mais ca doit faire au moins 5 ans que j’ai pas utilisé cette ligne de code. Aujourd’hui on a des choses bien plus avancées et surtout ça dépend du problème et des datas. Donc c’est pas juste une ligne
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OpenAI Tokenizer: Understanding Token-Logprob Key-Value Pairs
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not sure what your first question means, but in this case we rely on knowing the tokens of the tokenizer; openAI gives us back key-value pairs of token-logprob