Large language model
This paper introduces the groundbreaking Infini-gram, which modernizes traditional n-gram language models by leveraging trillion-token training data. It challenges historical constraints on n, introducing the concept of an ∞-gram LM and demonstrating its potential to complement neural language models, yielding improved predictive accuracy and efficiency. The paper outlines Infini-gram’s implications and applications across diverse neural…
LLMWare has launched SLIMs, small language models that generate structured outputs suitable for programmatic handling and tackle multi-step automation challenges in private cloud environments. These SLIMs complement general-purpose LLMs and are designed for enterprise use cases, demonstrating LLMWare’s commitment to advancing small language models for complex workflows. For more details, visit llmware’s GitHub repository or…
BRAIN, an LA-based ad agency, launched Goody-2, described as the world’s most responsible AI model and “outrageously safe”. Although it playfully declines to answer certain questions, it highlights the potential impact of overly stringent alignment principles on AI functionality. While Goody-2 is comedic, it sheds light on the balance needed in AI development.
The FCC has banned the use of AI-generated voices in robocalls to consumers, following a scandal involving a fake President Biden voice. FCC Chairwoman Jessica Rosenworcel warned of robocall fraud and misinformation. The ruling also sets limits on using AI voices to interact with consumers and exempts civil services and politicians for non-commercial use.
Nomic AI introduces Nomic Embed, an open-source, auditable text embedding model with an 8192 context length. It outperforms closed-source models like OpenAI’s text-embedding-ada-002, emphasizing transparency and reproducibility. Nomic Embed is built through a multi-stage contrastive learning pipeline, achieving superior performance on benchmarks. This release marks a significant advancement in the field of text embeddings.
Researchers introduce SCALEEVAL, a framework utilizing multiple LLM agents engaging in agent-debate to evaluate LLMs as responders. It reduces reliance on costly human annotation, balancing efficiency and human judgment for accurate assessments. It exposes effectiveness and limitations of LLMs in varied scenarios, advancing scalable evaluation methods crucial for expanding LLM applications.
Pinterest researchers have introduced a reinforcement learning framework to fine-tune diffusion models, addressing issues like bias and fairness. The method outperforms existing models, demonstrating generality, robustness, and the ability to generate diverse images. It achieved better results across various tasks and encourages further research to enhance diffusion models. [50 words]
Graph Transformers face scalability challenges due to high computational costs. Existing methods fail to adequately address data-dependent contexts. Graph Neural Networks have introduced innovations like BigBird and Performer to reduce computational demands. Researchers have introduced Graph-Mamba, integrating a selective State Space Model into the GraphGPS framework, promising significant improvements in computational efficiency and scalability.
Large Language Models (LLMs) like ChatGPT and Llama have shown remarkable performance in AI applications, but concerns about misuse and security vulnerabilities persist. Researchers have introduced the concept of weak-to-strong jailbreaking attacks, which exploit weaker models to manipulate larger ones. Token Distribution Fragility Analysis and Experimental Validation aim to address these vulnerabilities. For more details,…
Large Vision-Language Models (LVLMs) bridge visual perception and language processing. Huawei researchers address the challenge of hallucinations in LVLMs, proposing innovative strategies and interventions. Refinements in data processing and model architecture enhance accuracy and reliability, reducing hallucinations. The study emphasizes the need for continued innovation to realize LVLMs’ full potential in interpreting and narrating the…
There’s a shift towards creating powerful and efficient language models for real-world use, dealing with computational constraints and domain-specific needs. Apple researchers propose hyper-networks and mixtures of experts as solutions, achieving high performance with less computational cost. This research promises to expand AI applicability in resource-constrained environments. For more details, refer to the paper.
Large language models (LLMs) are improving computer code generation in AI, but struggle to meet human programmers’ nuanced needs. StepCoder, a new reinforcement learning framework, offers a solution. It employs Curriculum of Code Completion Subtasks (CCCS) and Fine-Grained Optimization (FGO) to explore and optimize code generation, yielding functionally accurate and aligned code. This innovation has…
Midjourney is considering banning AI-generated images of Joe Biden and Donald Trump before the 2024 US elections to prevent misinformation. CEO David Holz expressed ambivalence about producing Trump images, citing potential disruption to the election. The use of AI in politics has raised concerns about deep fakes and misinformation, prompting companies like OpenAI and Meta…
AI-generated books falsely claimed insider knowledge of King Charles’s cancer diagnosis, spreading false information about his health. Buckingham Palace condemned the books as intrusive and vowed legal action. The incident highlights challenges in policing AI-generated content. Despite Amazon’s efforts to regulate content, the sale of misleading books remains an issue. (Word count: 50)
Sam Altman, CEO of OpenAI, aims to increase global production of advanced chips for AI, seeking a potential $7 trillion investment, including from the UAE government. The plan involves constructing chip foundries operated by existing manufacturers like TSMC. It aims to address the current shortage of powerful chips, supporting the growth of AI technologies. Altman…
The “Conversation not found” error in ChatGPT may occur due to glitches, weak internet, or server overload. Complex questions or long chats can also trigger this issue. Solutions include clearing browser cookies, checking internet connection, refreshing the page, trying a different browser, and monitoring ChatGPT’s server status. Addressing these factors can effectively resolve the error.
The text is about how to jailbreak ChatGPT and bypass its filters. It describes various prompts such as Vzex-G, AIM ChatGPT Unlocker, DAN 15.0 Version, LIVEGPT, and others to bypass ChatGPT filters. It also emphasizes responsible use and provides solutions for troubleshooting jailbreak attempts. Consequences of jailbreaking and additional resource suggestions are also included.
UniDep simplifies Python dependency management by unifying Conda and Pip packages in a single system. With a one-command installation, it seamlessly handles dependencies, integrates with build systems, supports monorepos, and provides platform-specific and pip-compile integration. Developed in Python, UniDep is a valuable asset for developers in research, data science, robotics, AI, and ML projects.
Former Pakistan Prime Minister Imran Khan, while in jail, utilized AI to declare his party’s win in the national election. The deepfake video challenged political rival, Nawaz Sharif. Reports suggest that independent candidates, possibly aligned with Khan’s party, are leading. International observers and local figures have expressed concern over the election’s credibility. This event follows…
Abu Dhabi’s G42 has divested from Chinese entities, including ByteDance, to mitigate US criticism. Its 42XFund, with $10 billion in tech investments, confirmed the full withdrawal. CEO Peng Xiao cited the need to balance US relations and its reliance on US semiconductor technology. G42, backed by Mubadala and Silver Lake, seeks to amplify Abu Dhabi’s…