The LLMcorns: 4 New Billion Dollar Gen AI Valuations in One Week
Was this email forwarded to you? Sign up here The LLMcorns: 4 New Billion Dollar Gen AI Valuations in One WeekLLM providers are still commanding remarkable valuations in this fundraising climate.Next Week in The Sequence:
You can subscribe below!📝 Editorial: The LLMcorns: 4 New Billion Dollar Gen AI Valuations in One WeekEye-popping fundraising events are nothing new in the generative AI market, but last week was particularly special. Valuations in the generative AI space have been a hot topic in venture capital circles for the past couple of years. Questions arise: Where will value accrue in the gen AI market? Are we approaching a correction point in gen AI startup valuations? Will LLMs become commoditized? Such questions typically signal a shift towards a more conservative fundraising climate. However, if last week is anything to go by, that shift is not imminent. Last week was incredible from a venture fundraising perspective in gen AI, with four new companies surpassing $1 billion in valuation:
🔎 ML ResearchTransformer for Graph DataGoogle Research published a paper detailing Exphormer, a transformer model optimized for graph datasets. The method uses sparse attention and leverages spectral graph theory to achieve strong performance in graph data —> Read more. Vision Language Models with Multiple InputsAmazon Science published a paper proposing a technique for processing multiple inputs in vision-language models. In essence, the method produces an aggregated embedding for multiple input images which leads to a richer representation —> Read more. Heuristics PerformanceMicrosoft Research published a paper proposing MetaOpt, a method to evalute the performance of heuristic algorithms. MetaOpt is able to compare different heuristics and evaluate its performance in different settings —> Read more. LLM Hallucination DetectionResearchers from University of Washington, Allen AI and Carnegie Mellon University published a paper proposing a task and benchmark for detecting hallucinations in LLMs. The benchmark includes human judgments outputs on different LLM outputs across different domains —> Read more. ChatQANVIDIA Research published a paper introducing ChatQA, a series of conversational models that achieve ChatGPT type performance across different QA benchmarks. ChatQA is based on a dense retriever fine-tuned on a multi-turn QA dataset —> Read more. 🤖 Cool AI Tech ReleasesStable LM 2 1.6BStability AI open sourced a small language model with 1.6 billion parameters —> Read more. OpenAI UpdatesOpenAI announced new embedding models as well as other updates to its API —> Read more. 🛠 Real World MLPinterest Offline-Online ModelsPinterest discusses the architecture used to address the discrepancies between offline and online models for ad serving —> Read more. CoPilot Use CasesThe GitHub engineering team discusses some unsual patterns observed in developers using CoPilot —> Read more. 📡AI Radar
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