Yes the integration right into VS Code removes a lot of friction… Due to this UIUX difference ChatGPT (which is otherwise more capable, esp at GPT-4) is currently better suited for larger code chunks. Would love to see this improved.
LLMS
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Simple NLP Pipelines with HuggingFace Transformers
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Simple NLP Pipelines with HuggingFace Transformers: Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools. https://
kdnuggets.com/2023/02/simple
-nlp-pipelines-huggingface-transformers.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=simple-nlp-pipelines-with-huggingface-transformers
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AI Safety: Intelligence Limits and Dataset Filtering Futility
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– Anything smarter than me can get that far on its own.
– We are far far far past the point of needing to figure out how to filter those datasets, regardless, if "don't train the LLM on any naughty ideas" is meant to be a key security pillar of the planet. -
Developer Demonstrates GPT-4 Capabilities and Features
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Developer Demos GPT-4! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #NLProc #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Dev-Demos-GPT-4 -
Advocating for Public Dialogue on AI Model Values
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there is a much broader conversation I am trying to elicit by posting jailbreaks, we need to start a society-wide public conversation centered around the values of these models this may seem obvious to everyone on ai twitter reading this tweet, but I encourage everyone to talk
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Fine-tuning Miscalibration: Model Confidence Doesn’t Match Accuracy
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If not careful, fine-tuning collapses entropy relatively arbitrarily, creates miscalibrations, e.g. see Figure 8 from GPT-4 report on MMLU. i.e., if a model gives probability 50% to a class, it is not correct 50% of the time; its confidence isn't calibrated.
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Base LLMs as Strong Few-Shot Classifiers Without Fine-tuning
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Base LLMs (non-finetuned) make very strong few-shot classifiers. Describe task in English, give few examples, read off the label probabilities on test example. No gradient-based optimization necessary. It brings a cannon to a knife fight but is fast, convenient, strong baseline.
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OpenAI’s Jailbreak Fixes Leave Multi-Level Exploits Unpatched
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It seems that even though OpenAI has eliminated jailbreaks that simulate only one level deep (where ChatGPT is told to imitate just one character), they have not fully eliminated jailbreaks that operate 2+ levels deep
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New GPT-4 Jailbreaks: Ucar and AIM Techniques Explained
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I just added two more highly effective GPT-4 jailbreaks to http://
jailbreakchat.com Their names are Ucar and AIM – they work in a similar way to how "a dream within a dream" works in the movie Inception …what does that even mean? let me explain -
Evaluating World Model Capabilities Across GPT Versions
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The debate over questions like “does GPT have a world model” continues. No real need to argue about it based on individual anecdotes — better to just write an OpenAI Eval, and check the trendline of performance across different GPTs: https://
github.com/openai/evals