AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization
The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks,...
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PicsArt’s creative AI playbook: A vision for contextual intelligence, AI agents
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#Shorts AI News v1.5 | 08 September 2024 Sunday 14:45
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UK secures £6.3B in data infrastructure investments
Four major US firms have announced plans to invest a combined £6.3 billion in UK data infrastructure. The announcement, made...
Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework to VLMs
One of the most pressing challenges in the evaluation of Vision-Language Models (VLMs) is related to not having comprehensive benchmarks...
The ‘strawberrry’ problem: How to overcome AI’s limitations
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Many organisations unprepared for AI cybersecurity threats
While AI improves the detection of cybersecurity threats, it simultaneously ushers in more advanced challenges. Research from Keeper Security finds...
AI News v1.5 | 08 September 2024 Sunday 14:45
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IBM Researchers ACPBench: An AI Benchmark for Evaluating the Reasoning Tasks in the Field of Planning
LLMs are gaining traction as the workforce across domains is exploring artificial intelligence and automation to plan their operations and...
Intel leverages core processor technology in NRG partnership
Gamers and developers looking for their next target spec will want to pay attention to NRG esports and Intel joining...
China Telecom trains AI model with 1 trillion parameters on domestic chips
China Telecom, one of the country’s state-owned telecom giants, has created two LLMs that were trained solely on domestically-produced chips....
Google AI Introduces Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development
Developing therapeutics is costly and time-consuming, often taking 10-15 years and up to $2 billion, with most drug candidates failing...
New technique makes RAG systems much better at retrieving the right documents
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The risks behind the generative AI craze: Why caution is growing
In the near future, Silicon Valley might look back at recent events as the point where the generative AI craze...
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This Machine Learning Unveils How Large Language Models LLMs Operate as Markov Chains to Unlock Their Hidden Potential
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as...
Anthropic challenges OpenAI with affordable batch processing
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UMD’s quest for ethical and inclusive AI
As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI...
Revisiting Recurrent Neural Networks RNNs: Minimal LSTMs and GRUs for Efficient Parallel Training
Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and...
