NLP

Explore articles tagged with NLP

#AI#Large Language Models#NLP

Walmart’s AI workflows meet the realities of the balance sheet

Walmart has reportedly begun limiting employees’ use of an internal AI assistant called Code Puppy after demands placed on the LLM backing the tool were higher than expected. Employees of Walmart were encouraged to use Code Puppy without any stricture or stipulations as to the limits of use, but Walmart is now assigning employees a […] The post Walmart’s AI workflows meet the realities of the balance sheet appeared first on AI News.

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Latest: GitHub Copilot users see token-based price hikes

Since its announcement in April this year, the proposed changes to billing methods on GitHub Copilot were a source of much speculation: how much more or less would a pay-a-you-use AI cost an organisation or individual compared to a flat-rate, monthly subscription? Just a day into the changeover to token-based billing for the LLM-based service, […] The post GitHub Copilot users see token-based price hikes appeared first on AI News.

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AI agents are entering their rebuild era as enterprises confront the reliability problem

As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production.

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MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller memory model that operates separately from the main LLM.

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OpenAI co-founder Andrej Karpathy announces he's joining Anthropic

Andrej Karpathy, the influential 39-year-old Slovak-Canadian AI researcher and one of the original 11 co-founders of OpenAI, and former head of Tesla's AI division, announced on Tuesday, May 19 that he's joining rival lab Anthropic. As Karpathy posted from his account on the social network X: "Personal update: I've joined Anthropic.

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Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search.

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How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro

Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate.

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GPT-5.5 Instant shows you what it remembered — just not all of it

OpenAI updated the default model for ChatGPT to its new GPT-5.5 Instant, along with a new memory capability that finally shows which context shaped responses — at least some of them.

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xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite

While Elon Musk faces off against his former colleague and OpenAI co-founder Sam Altman in court, Musk's rival firm xAI, founded to take on OpenAI, isn't slowing down on launching competitive new products and services. Last night, xAI shipped a new, proprietary base large language model (LLM), Grok 4.

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This startup’s new mechanistic interpretability tool lets you debug LLMs

The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained control over how this technology is built than was once thought possible.

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Monitoring LLM behavior: Drift, retries, and refusal patterns

The stochastic challenge Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests.

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OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0

After months of rumors and reports that OpenAI was developing a new, more powerful AI large language model for use in ChatGPT and through its application programming interface (API), allegedly codenamed "Spud" internally, the company has today unveiled its latest offering under the more formal name GPT-5. And to likely no one's surprise, it's hardly a "potato" in the disparaging sense of the word: GPT-5.

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Most enterprises can't stop stage-three AI agent threats, VentureBeat survey finds

A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain breach through LiteLLM.

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Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-time scaling techniques to increase the accuracy of model responses, such as drawing multiple reasoning samples from a model at deployment.

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Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM

Anthropic is publicly releasing its most powerful large language model yet, Claude Opus 4.7, today — as it continues to keep an even more powerful successor, Mythos, restricted to a small number of external enterprise partners for cybersecurity testing and patching vulnerabilities in the software said enterprises use (which Mythos exposed rapidly).

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Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large language models (LLMs) beginning in early 2023 but coming to screeching halt last year after Llama 4 debuted to mixed reviews and ultimately, admissions of gaming benchmarks. That bumpy rollout of Llama 4 apparently spurred Meta founder and CEO Mark Zuckerberg to totally overhaul Meta's AI operations i.

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Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recently posted on X describing a "LLM Knowledge Bases" approach he's using to manage various topics of research interest.

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Shifting to AI model customization is an architectural imperative

In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains.

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There are more AI health tools than ever—but how well do they work?

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A couple of days earlier, Amazon had announced that Health AI, an LLM-based tool previously restricted to members of its One Medical service, would….

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Anthropic and OpenAI just exposed SAST's structural blind spot with free tools

OpenAI launched Codex Security on March 6, entering the application security market that Anthropic had disrupted 14 days earlier with Claude Code Security. Both scanners use LLM reasoning instead of pattern matching.