Large Language Models (LLMs) are pivotal for numerous applications including chatbots and data analysis, chiefly due to their ability to efficiently process high volumes of textual data. The progression of AI technology has amplified the need for superior quality training data, critical for the models' function and enhancement.
A major challenge in AI development is guaranteeing…
Recent research into Predictive Large Models (PLM) aims to align the models with human values, avoiding harmful behaviors while maximising efficiency and applicability. Two significant methods used for alignment are supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF). RLHF, notably, commoditizes the reward model to new prompt-response pairs. However, this approach often faces…
The field of large language models (LLMs), such as GPT, Claude, and Gemini, has seen rapid advancement, enabling the creation of autonomous agents capable of natural language interactions and executing diverse tasks. These AI agents are increasingly benefiting from the integration of external tools and knowledge sources, which expand their capacity to access and use…
Advances in technology over the past century, specifically the proliferation of computers, has facilitated the development of molecular representations that can be understood by these machines, assisting the process of drug discovery. Initial representations of molecules were simplified, showing only bonds and atoms. However, as the complexity of computational processing increased, more sophisticated representations were…
Software engineering is a rapidly evolving field aimed at systematic design, development, testing, and maintenance of software systems. In recent times, large language models (LLMs) such as GPT-3 have been employed to automate and optimize various software engineering tasks. However, the use of autonomous LLM-based agents has its challenges given their cost and complexity, and…
Language modelling, an essential tool in developing effective natural language processing (NLP) and artificial intelligence (AI) applications, has significantly benefited from advancements in algorithms that understand, generate, and manipulate human language. These advancements have catalyzed large models that can undertake tasks such as translation, summarization, and question answering. However, they face notable challenges, including difficulties…
The generation of personalized reviews within recommender systems is a burgeoning area of interest, especially in creating bespoke reviews based on users' past interactions and choices. This process involves leveraging data from users’ previous purchases and feedback to produce reviews that genuinely reflect their unique preferences and experiences, thereby improving the competency of recommender systems.
Several…
Ensuring the safety of large language models (LLMs) is vital given their widespread use across various sectors. Despite efforts made to secure these systems, through approaches like reinforcement learning from human feedback (RLHF) and the development of inference-time controls, vulnerabilities persist. Adversarial attacks have, in certain instances, been able to circumvent such defenses, raising the…
Numina has released a new language model optimized for solving mathematical problems: NuminaMath 7B TIR. With its 6.91 billion parameters, the model efficiently handles intricate mathematical queries through a specialized tool-integrated reasoning (TIR) system. Comprising a sequence of steps - creating a reasoning pathway for problem-solving, translating it into Python code, running the code in…
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of cybersecurity by enhancing both defensive and offensive capabilities. On the defensive end, they are assisting systems to better detect and tackle cyber threats. AI and ML algorithms are proficient in dealing with vast datasets, thereby effectively identifying patterns and anomalies. These techniques have…
In recent years, the advancement of technology has allowed for the development of computer-verifiable formal languages, further advancing the field of mathematical reasoning. One of these languages, known as Lean, is an instrument employed to validate mathematical theorems, thereby ensuring accuracy and consistency in mathematical outcomes. Scholars are increasingly using Large Language Models (LLMs), specifically…
Chinese AI tech giant, SenseTime, announced a major upgrade for their flagship product SenseNova 5.5 at the 2024 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance. The update incorporates the first real-time multimodal model in China, SenseNova 5o, and demonstrates a commitment to providing innovative and practical applications in various industries.
SenseNova 5o…