Upload deduplicated_words.csv
Browse files- deduplicated_words.csv +541 -0
deduplicated_words.csv
ADDED
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|
1 |
+
Words
|
2 |
+
ML
|
3 |
+
Blog
|
4 |
+
-
|
5 |
+
Orca
|
6 |
+
–
|
7 |
+
Progressive
|
8 |
+
Learning
|
9 |
+
from
|
10 |
+
Complex
|
11 |
+
Explanation
|
12 |
+
Traces
|
13 |
+
of
|
14 |
+
GPT-4
|
15 |
+
Hands-On
|
16 |
+
GNNs
|
17 |
+
LLM
|
18 |
+
Course
|
19 |
+
Notes
|
20 |
+
Publications
|
21 |
+
About
|
22 |
+
@maximelabonne
|
23 |
+
🗣️
|
24 |
+
Large
|
25 |
+
language
|
26 |
+
modelsOrca
|
27 |
+
–
|
28 |
+
–
|
29 |
+
Models
|
30 |
+
Author
|
31 |
+
Maxime
|
32 |
+
Lbonne
|
33 |
+
Published
|
34 |
+
August
|
35 |
+
"7,"
|
36 |
+
2024
|
37 |
+
🗣️
|
38 |
+
Extending
|
39 |
+
the
|
40 |
+
Context
|
41 |
+
Window
|
42 |
+
LLMs
|
43 |
+
Report
|
44 |
+
–
|
45 |
+
Few-Shot
|
46 |
+
Text
|
47 |
+
Classification
|
48 |
+
GPTQ
|
49 |
+
–
|
50 |
+
Accurate
|
51 |
+
Post-Training
|
52 |
+
Quantization
|
53 |
+
for
|
54 |
+
Generative
|
55 |
+
Pre-trained
|
56 |
+
Transformers
|
57 |
+
InCoder
|
58 |
+
–
|
59 |
+
A
|
60 |
+
Model
|
61 |
+
Code
|
62 |
+
Infilling
|
63 |
+
and
|
64 |
+
Synthesis
|
65 |
+
Inference
|
66 |
+
Optimization
|
67 |
+
–
|
68 |
+
Lil’Log
|
69 |
+
LIMA
|
70 |
+
–
|
71 |
+
Less
|
72 |
+
Is
|
73 |
+
More
|
74 |
+
Alignment
|
75 |
+
Local
|
76 |
+
–
|
77 |
+
Int8
|
78 |
+
LongNet
|
79 |
+
–
|
80 |
+
Scaling
|
81 |
+
to
|
82 |
+
"1,000,000,000"
|
83 |
+
Tokens
|
84 |
+
LoRA
|
85 |
+
–
|
86 |
+
Low-Rank
|
87 |
+
Adaptation
|
88 |
+
LoraHub
|
89 |
+
–
|
90 |
+
Efficient
|
91 |
+
Cross-Task
|
92 |
+
Generalization
|
93 |
+
via
|
94 |
+
Dynamic
|
95 |
+
Composition
|
96 |
+
Multipack
|
97 |
+
Sampler
|
98 |
+
–
|
99 |
+
phi-1
|
100 |
+
–
|
101 |
+
Textbooks
|
102 |
+
Are
|
103 |
+
All
|
104 |
+
You
|
105 |
+
Need
|
106 |
+
Self-Rewarding
|
107 |
+
Tart
|
108 |
+
–
|
109 |
+
A
|
110 |
+
plug-and-play
|
111 |
+
Transformer
|
112 |
+
module
|
113 |
+
task-agnostic
|
114 |
+
reasoning
|
115 |
+
💡
|
116 |
+
Machine
|
117 |
+
Training
|
118 |
+
Data
|
119 |
+
Influence
|
120 |
+
Analysis
|
121 |
+
Estimation
|
122 |
+
A
|
123 |
+
Survey
|
124 |
+
Sections
|
125 |
+
Tuning
|
126 |
+
Experiments
|
127 |
+
Tip
|
128 |
+
a
|
129 |
+
13B
|
130 |
+
parameter
|
131 |
+
with
|
132 |
+
ChatGPT
|
133 |
+
level
|
134 |
+
performance
|
135 |
+
thanks
|
136 |
+
a
|
137 |
+
huge
|
138 |
+
dataset
|
139 |
+
5M
|
140 |
+
samples
|
141 |
+
step-by-step
|
142 |
+
explanations.
|
143 |
+
📝
|
144 |
+
Paper:
|
145 |
+
https://arxiv.org/abs/2306.02707
|
146 |
+
will
|
147 |
+
probably
|
148 |
+
never
|
149 |
+
be
|
150 |
+
released
|
151 |
+
by
|
152 |
+
"Microsoft,"
|
153 |
+
but
|
154 |
+
open-source
|
155 |
+
projects
|
156 |
+
try
|
157 |
+
replicate
|
158 |
+
it
|
159 |
+
"(OpenOrca,"
|
160 |
+
Dolphin).
|
161 |
+
authors
|
162 |
+
note
|
163 |
+
that
|
164 |
+
while
|
165 |
+
Vicuna-13B
|
166 |
+
display
|
167 |
+
excellent
|
168 |
+
when
|
169 |
+
evaluated
|
170 |
+
performs
|
171 |
+
quite
|
172 |
+
poorly
|
173 |
+
on
|
174 |
+
benchmarks
|
175 |
+
like
|
176 |
+
"SAT,"
|
177 |
+
"LSAT,"
|
178 |
+
"GRE,"
|
179 |
+
GMAT.
|
180 |
+
Self-Instruct
|
181 |
+
involves
|
182 |
+
using
|
183 |
+
an
|
184 |
+
initial
|
185 |
+
set
|
186 |
+
prompts
|
187 |
+
ask
|
188 |
+
create
|
189 |
+
new
|
190 |
+
instructions.
|
191 |
+
Low-quality
|
192 |
+
or
|
193 |
+
overly
|
194 |
+
similar
|
195 |
+
responses
|
196 |
+
"removed,"
|
197 |
+
remaining
|
198 |
+
recycled
|
199 |
+
back
|
200 |
+
into
|
201 |
+
task
|
202 |
+
pool
|
203 |
+
further
|
204 |
+
iterations.
|
205 |
+
"However,"
|
206 |
+
queries
|
207 |
+
generated
|
208 |
+
can
|
209 |
+
lack
|
210 |
+
diversity
|
211 |
+
complexity.
|
212 |
+
Alpaca
|
213 |
+
WizardLM
|
214 |
+
use
|
215 |
+
a
|
216 |
+
variant
|
217 |
+
introduces
|
218 |
+
concept
|
219 |
+
"Evol-Instruct,"
|
220 |
+
which
|
221 |
+
gradually
|
222 |
+
rewrites
|
223 |
+
versions
|
224 |
+
BFS
|
225 |
+
DFS.
|
226 |
+
Vicuna
|
227 |
+
Koala
|
228 |
+
demonstrate
|
229 |
+
impressive
|
230 |
+
due
|
231 |
+
their
|
232 |
+
human-like
|
233 |
+
conversations
|
234 |
+
natural
|
235 |
+
(ShareGPT).
|
236 |
+
Problem
|
237 |
+
capture
|
238 |
+
style
|
239 |
+
not
|
240 |
+
process.
|
241 |
+
This
|
242 |
+
motivates
|
243 |
+
creation
|
244 |
+
a
|
245 |
+
auto-evaluation
|
246 |
+
has
|
247 |
+
several
|
248 |
+
"drawbacks,"
|
249 |
+
such
|
250 |
+
as
|
251 |
+
limited
|
252 |
+
test
|
253 |
+
sizes
|
254 |
+
"example,"
|
255 |
+
80
|
256 |
+
in
|
257 |
+
218
|
258 |
+
inherent
|
259 |
+
biases
|
260 |
+
tends
|
261 |
+
favor
|
262 |
+
instruction-tuned
|
263 |
+
its
|
264 |
+
own
|
265 |
+
resulting
|
266 |
+
a
|
267 |
+
preference
|
268 |
+
longer
|
269 |
+
texts
|
270 |
+
over
|
271 |
+
shorter
|
272 |
+
ones.
|
273 |
+
also
|
274 |
+
exhibits
|
275 |
+
a
|
276 |
+
bias
|
277 |
+
order
|
278 |
+
candidate
|
279 |
+
overestimates
|
280 |
+
abilities
|
281 |
+
smaller
|
282 |
+
Contributions:
|
283 |
+
Augmenting
|
284 |
+
query-response
|
285 |
+
pairs
|
286 |
+
detailed
|
287 |
+
outline
|
288 |
+
system
|
289 |
+
tasks
|
290 |
+
FLANv2
|
291 |
+
used
|
292 |
+
offers
|
293 |
+
a
|
294 |
+
wide
|
295 |
+
variety
|
296 |
+
They
|
297 |
+
created
|
298 |
+
a
|
299 |
+
5
|
300 |
+
million
|
301 |
+
1
|
302 |
+
Evaluation:
|
303 |
+
comprehension
|
304 |
+
assessed
|
305 |
+
under
|
306 |
+
various
|
307 |
+
settings.
|
308 |
+
focus
|
309 |
+
a
|
310 |
+
lot
|
311 |
+
how
|
312 |
+
guide
|
313 |
+
adopting
|
314 |
+
right
|
315 |
+
"tone,"
|
316 |
+
format.
|
317 |
+
I
|
318 |
+
believe
|
319 |
+
same
|
320 |
+
effect
|
321 |
+
achieved
|
322 |
+
user
|
323 |
+
(maybe
|
324 |
+
slightly
|
325 |
+
sampled
|
326 |
+
a
|
327 |
+
diverse
|
328 |
+
instruction
|
329 |
+
including
|
330 |
+
chain-of-thought
|
331 |
+
"steps,"
|
332 |
+
explain
|
333 |
+
I’m
|
334 |
+
"five,"
|
335 |
+
being
|
336 |
+
helpful
|
337 |
+
"informative,"
|
338 |
+
etc.
|
339 |
+
Construction
|
340 |
+
Each
|
341 |
+
sample
|
342 |
+
a
|
343 |
+
triplet
|
344 |
+
"message,"
|
345 |
+
response.
|
346 |
+
FLAN-v2
|
347 |
+
raw
|
348 |
+
Collection
|
349 |
+
consists
|
350 |
+
sub-collections:
|
351 |
+
"CoT,"
|
352 |
+
"NiV2,"
|
353 |
+
T0
|
354 |
+
"only),"
|
355 |
+
Flan
|
356 |
+
"2021,"
|
357 |
+
Dialogue:
|
358 |
+
most
|
359 |
+
interesting
|
360 |
+
one
|
361 |
+
150K
|
362 |
+
V2
|
363 |
+
"FLAN2021,"
|
364 |
+
were
|
365 |
+
randomly
|
366 |
+
(~10%
|
367 |
+
was
|
368 |
+
selected
|
369 |
+
Dialog
|
370 |
+
completely
|
371 |
+
skipped
|
372 |
+
because
|
373 |
+
lacks
|
374 |
+
then
|
375 |
+
inputs
|
376 |
+
generate
|
377 |
+
high-quality
|
378 |
+
(1M).
|
379 |
+
These
|
380 |
+
prompted
|
381 |
+
+
|
382 |
+
16
|
383 |
+
handcrafted
|
384 |
+
messages
|
385 |
+
ensure
|
386 |
+
different
|
387 |
+
kinds
|
388 |
+
<empty>
|
389 |
+
AI
|
390 |
+
assistant.
|
391 |
+
Provide
|
392 |
+
a
|
393 |
+
answer
|
394 |
+
so
|
395 |
+
don’t
|
396 |
+
search
|
397 |
+
outside
|
398 |
+
understand
|
399 |
+
given
|
400 |
+
a
|
401 |
+
must
|
402 |
+
a
|
403 |
+
long
|
404 |
+
a
|
405 |
+
who
|
406 |
+
always
|
407 |
+
Think
|
408 |
+
answering
|
409 |
+
a
|
410 |
+
year
|
411 |
+
old.
|
412 |
+
follows
|
413 |
+
extremely
|
414 |
+
well.
|
415 |
+
Help
|
416 |
+
much
|
417 |
+
helps
|
418 |
+
people
|
419 |
+
find
|
420 |
+
information.
|
421 |
+
a
|
422 |
+
give
|
423 |
+
a
|
424 |
+
Your
|
425 |
+
goal
|
426 |
+
complete
|
427 |
+
faithfully
|
428 |
+
performing
|
429 |
+
justify
|
430 |
+
should
|
431 |
+
describe
|
432 |
+
a
|
433 |
+
multiple
|
434 |
+
choice
|
435 |
+
"question,"
|
436 |
+
first
|
437 |
+
output
|
438 |
+
correct
|
439 |
+
why
|
440 |
+
other
|
441 |
+
answers
|
442 |
+
wrong.
|
443 |
+
a
|
444 |
+
definition
|
445 |
+
come
|
446 |
+
up
|
447 |
+
a
|
448 |
+
might
|
449 |
+
additional
|
450 |
+
knowledge
|
451 |
+
a
|
452 |
+
a
|
453 |
+
some
|
454 |
+
job
|
455 |
+
follow
|
456 |
+
a
|
457 |
+
teacher.
|
458 |
+
a
|
459 |
+
simple
|
460 |
+
what
|
461 |
+
"asking,"
|
462 |
+
any
|
463 |
+
guidelines
|
464 |
+
provides
|
465 |
+
those
|
466 |
+
knows
|
467 |
+
every
|
468 |
+
translate
|
469 |
+
another.
|
470 |
+
a
|
471 |
+
solve
|
472 |
+
show
|
473 |
+
a
|
474 |
+
a
|
475 |
+
a
|
476 |
+
"input,"
|
477 |
+
break
|
478 |
+
small
|
479 |
+
parts.
|
480 |
+
have
|
481 |
+
meaning
|
482 |
+
showing
|
483 |
+
meets
|
484 |
+
criteria
|
485 |
+
following
|
486 |
+
Part
|
487 |
+
#:
|
488 |
+
a
|
489 |
+
key
|
490 |
+
Usage:
|
491 |
+
motivated
|
492 |
+
curriculum
|
493 |
+
a
|
494 |
+
a
|
495 |
+
big
|
496 |
+
technical
|
497 |
+
reasons
|
498 |
+
"(cost,"
|
499 |
+
time).
|
500 |
+
LLaMA
|
501 |
+
BPE
|
502 |
+
tokenizer
|
503 |
+
padding
|
504 |
+
(vocabulary
|
505 |
+
size
|
506 |
+
=
|
507 |
+
"32,001)."
|
508 |
+
examples
|
509 |
+
packed
|
510 |
+
a
|
511 |
+
single
|
512 |
+
sequence
|
513 |
+
maximize
|
514 |
+
length
|
515 |
+
"(2,048"
|
516 |
+
get
|
517 |
+
a
|
518 |
+
uniform
|
519 |
+
trained
|
520 |
+
160h
|
521 |
+
20xA100
|
522 |
+
GPUs
|
523 |
+
(4
|
524 |
+
epochs)
|
525 |
+
ChatGPT-generated
|
526 |
+
+
|
527 |
+
40h
|
528 |
+
GPT-4-generated
|
529 |
+
Open-ended
|
530 |
+
generation:
|
531 |
+
significantly
|
532 |
+
better
|
533 |
+
than
|
534 |
+
AGIEval:
|
535 |
+
doesn’t
|
536 |
+
perform
|
537 |
+
BigBench-Hard:
|
538 |
+
par
|
539 |
+
Copyright
|
540 |
+
"2023,"
|
541 |
+
Labonne
|