How to use the new desktop app of #ChatGPT? Here is the complete tutorial → https://
youtu.be/DP8du_mp0Co – Download and Install
– Configure properly
– Usage examples
LLMS
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Complete tutorial for using the new ChatGPT desktop app
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Software platform adds support for diverse AI models
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It has a big list of supported models from OpenAI, Mistral, Huggingface and Meta
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Expansion of Open-Source AI Models via Hugging Face Partnership
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More open-source AI models are being introduced in an extension of a partnership with Huggingface
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Fine-tuning Index: Benchmarks for Open Source and OpenAI LLMs
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Introducing the Fine-tuning Index! A comprehensive set of benchmarks for 13 fine-tuned #opensource #LLMs and leading models from #OpenAI across 31 diverse tasks. The index reports essential metrics, including: Performance Speed Cost https://
pbase.ai/3wI4S6o -
LangGraph: Building Intelligent Agents Under the Hood
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Similar! But using LangGraph under the hood
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Microsoft Releases Phi-3 Series: 3.8B to 14B Models
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A new series of Phi-3 mini, small & medium models (MIT license (3.8B – 7B – 14B) Long-context
Phi-3-mini-128k-instruct: https://
huggingface.co/microsoft/Phi-
3-mini-128k-instruct
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Phi-3 small 128k: https://
huggingface.co/microsoft/Phi-
3-small-128k-instruct
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Phi-3 medium 128k: https://
huggingface.co/microsoft/Phi-
3-medium-128k-instruct
… Multimodal:
Phi-3-vision-128k-instruct: -
Scaling Monosemanticity: Understanding Neural Network Features and Safety
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There’s much more in our paper, including detailed analysis of the breadth and specifics of features, many more safety-relevant case studies, and preliminary work on using features to study computational "circuits" in models. Read the full paper here: https://
transformer-circuits.pub/2024/scaling-m
onosemanticity/index.html
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Model Safety Features: Vulnerabilities, Deception, and Bias Detection
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Among these millions of features, we find several that are relevant to questions of model safety and reliability. These include features related to code vulnerabilities, deception, bias, sycophancy, power-seeking, and criminal activity.
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Abstract Features in AI Models Causally Influence Outputs
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These features are remarkably abstract, often representing the same concept across contexts and languages, even generalizing to image inputs. Importantly, they also causally influence the model’s outputs in intuitive ways.
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Claude 3 Sonnet: Millions of Features Extracted from Deployed Model
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For the first time, we’ve extracted millions of features from a high-performing, deployed model (Claude 3 Sonnet). These features cover specific people and places, programming-related abstractions, scientific topics, emotions, among a vast range of other concepts.