- Exchange), and 3% code-unrelated Chinese). Long-
context pretraining: 200B tokens. This
extends the
context length from 4K to 16K. This
produced the Base models...
-
Unlike GPT-4
which increased context length during fine-tuning,
Llama 2 and Code
Llama - Chat have the same
context length of 4K tokens.
Supervised fine-tuning...
- mixture-of-experts, with a
context length in the millions,
while Gemini 1.5
Flash is
distilled from
Gemini 1.5 Pro, with a
context length above 2 million. Gemma...
- with lower-cased byte pair
encoding (BPE) with 49152
vocabulary size.
Context length was
capped at 76 for efficiency. Like GPT, it was decoder-only, with...
-
Context-adaptive variable-
length coding (CAVLC) is a form of
entropy coding used in H.264/MPEG-4 AVC
video encoding. It is an
inherently lossless compression...
- faster, less expensive, and
lighter version.
Claude Instant has an
input context length of 100,000
tokens (which
corresponds to
around 75,000 words). Claude...
- to 16K
tokens of
context length to solve. NoLiMa: Long-
Context Evaluation Beyond Literal Matching. The
benchmark ****esses long-
context models beyond simple...
- well-known variable-
length coding strategies are
Huffman coding, Lempel–Ziv coding,
arithmetic coding, and
context-adaptive variable-
length coding. The extension...
-
carrier density. In the
context of solids, Thomas–Fermi
screening length may be
required instead of
Debye length.
Bjerrum length Debye–Falkenhagen effect...
-
declares a variable-
length array of integers.
Before C#
version 7.2, a
pointer to the
array is required,
requiring an "unsafe"
context. The "unsafe" keyword...
