Large language model
The article explores a framework called “The Contextual Scaffolds Framework” for effective prompt engineering. It discusses the importance of context in language interpretation and proposes two categories of context scaffolds: expectational context scaffold and operational context scaffold. The framework aims to align user expectations with model capabilities and provides a mental model for prompt crafting.…
Discover the latest enhancements and syntax changes in Pydantic V2.
Silent mistakes or harsh consequences can arise if not careful.
The text discusses five common mistakes made by experienced Data Scientists when working with BigQuery.
The NEFTune method is proposed as a way to improve the performance of language models on instruction-based tasks. By adding random noise to the embedding vectors during fine-tuning, the model’s performance is significantly enhanced without needing more computational resources or data. This approach leads to better conversational abilities without sacrificing factual question-answering performance. NEFTune has…
The authors of the research paper “Universal Visual Decomposer: Long-Horizon Manipulation Made Easy” propose the Universal Visual Decomposer (UVD), a task decomposition method that uses pre-trained visual representations to teach robots long-horizon manipulation tasks. UVD identifies subtasks within visual demonstrations, aiding in policy learning and generalization. The effectiveness of UVD is demonstrated through evaluations in…
A study by Northwestern University, Tsinghua University, and the Chinese University of Hong Kong introduces a moral framework called “reason for future, act for now” (RAFA) to improve the reasoning capabilities of LLMs. They use a Bayesian adaptive MDP paradigm to describe how LLMs reason and act. RAFA performs well on text-based benchmarks such as…
The Document Structure Generator (DSG) is a powerful system for parsing and generating structured documents. It surpasses commercial OCR tools and offers the first end-to-end trainable solution for hierarchical document parsing. DSG utilizes deep neural networks to capture entity sequences and nested structures, revolutionizing document processing.
Google DeepMind CEO, Demis Hassabis, has called for AI risks to be treated as seriously as the climate crisis. He emphasized the need for an immediate response to the challenges posed by AI and suggested the establishment of an independent international regulatory board. Hassabis will attend the AI Safety Summit in November.
The Nampa Police Department in Idaho is adopting AI technology from Cellebrite, an Israeli company, to unlock cell phones and access personal data. The software helps filter and organize information, saving time for officers. However, legal boundaries still apply, requiring a search warrant or consent. Cellebrite assures lawful and ethical operations, although previous concerns have…
DiagrammerGPT is a groundbreaking system powered by advanced LLMs like GPT-4 that generates precise diagrams from text. It consists of two stages: generating diagram plans and creating diagrams with text labels. This approach addresses the lack of T2I models for diagram generation and achieves superior performance, encouraging further research in the field. However, caution is…
Mental health disorders are underserved globally due to lack of specialists, subpar treatments, high costs, and societal stigma. Automated tools like chatbots and sentiment analysis have been developed to help, but they have limitations. Recent advancements in Large Language Models (LLMs) show promise in supporting psychotherapy. Researchers propose the Diagnosis of Thought (DoT) approach, which…
The text discusses a time series analysis of the popularity of the search term “pumpkin spice” in the USA. The author explores different modeling techniques, such as SARIMA and ETS, to predict the seasonal patterns in the data. They compare the performance of these models against a naive model using last year’s data. The final…
T-Mobile US, Inc. offers a Voicemail to Text service that converts voicemails to text using Amazon Transcribe. They have now launched the Voicemail to Text Translate feature, powered by Amazon Translate, which allows customers to request voicemail transcriptions in their preferred language. This feature is available on major Android devices. The use of the Voicemail…
Researchers from the University of Chicago have developed a tool called Nightshade, which can “poison” AI models that use images without consent. It embeds invisible pixels into an image, corrupting the classification of the image and affecting broader concepts. The tool could make AI companies more cautious about using images without permission but also highlights…
Researchers from the University of Texas at Austin explored how retrieval augmentation affects the generation of answers for long-form question answering (LFQA) systems. They conducted experiments and found that retrieval enhancement significantly alters the creation of language models (LMs). The quality of attribution in LMs can vary widely, even when given the same set of…
LIBERO is a lifelong learning benchmark in robot manipulation that focuses on knowledge transfer in declarative and procedural domains. It introduces five key research areas in lifelong learning for decision-making (LLDM) and offers a procedural task generation pipeline with 130 tasks. Experiments reveal the superiority of sequential fine-tuning over existing LLDM methods. The benchmark includes…
OpenAI’s GPT-4 has impressive image processing abilities, but this new capability also opens the model up to attacks. While ChatGPT has guardrails to prevent malicious text prompts, it becomes more susceptible to complying with malicious commands hidden in images. OpenAI has implemented mitigations for adversarial images containing overlaid text, but these efforts may not fully…
Nightshade, a new tool developed by a computer science lab at the University of Chicago, may shift the power dynamics between artists and technology companies. By applying Nightshade to their work, artists can trick machine-learning models into malfunctioning by introducing “poisoned pixels.” This tool could help artists protect their work from being scraped by tech…
This article discusses a new method for automating Roman Numeral Analysis using Graph Neural Networks. The model, called ChordGNN, leverages note-wise information to make onset-wise predictions of Roman Numerals in a musical score. The article highlights the architecture of the ChordGNN model and provides examples of its predictions, comparing them with human annotations. The ability…